Re-introduce the `llama` package (#5034)
* Re-introduce the llama package
This PR brings back the llama package, making it possible to call llama.cpp and
ggml APIs from Go directly via CGo. This has a few advantages:
- C APIs can be called directly from Go without needing to use the previous
"server" REST API
- On macOS and for CPU builds on Linux and Windows, Ollama can be built without
a go generate ./... step, making it easy to get up and running to hack on
parts of Ollama that don't require fast inference
- Faster build times for AVX,AVX2,CUDA and ROCM (a full build of all runners
takes <5 min on a fast CPU)
- No git submodule making it easier to clone and build from source
This is a big PR, but much of it is vendor code except for:
- llama.go CGo bindings
- example/: a simple example of running inference
- runner/: a subprocess server designed to replace the llm/ext_server package
- Makefile an as minimal as possible Makefile to build the runner package for
different targets (cpu, avx, avx2, cuda, rocm)
Co-authored-by: Jesse Gross <jesse@ollama.com>
Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
* cache: Clear old KV cache entries when evicting a slot
When forking a cache entry, if no empty slots are available we
evict the least recently used one and copy over the KV entries
from the closest match. However, this copy does not overwrite
existing values but only adds new ones. Therefore, we need to
clear the old slot first.
This change fixes two issues:
- The KV cache fills up and runs out of space even though we think
we are managing it correctly
- Performance gets worse over time as we use new cache entries that
are not hot in the processor caches
* doc: explain golang objc linker warning (#6830)
* llama: gather transitive dependencies for rocm for dist packaging (#6848)
* Refine go server makefiles to be more DRY (#6924)
This breaks up the monolithic Makefile for the Go based runners into a
set of utility files as well as recursive Makefiles for the runners.
Files starting with the name "Makefile" are buildable, while files that
end with ".make" are utilities to include in other Makefiles. This
reduces the amount of nearly identical targets and helps set a pattern
for future community contributions for new GPU runner architectures.
When we are ready to switch over to the Go runners, these files should
move to the top of the repo, and we should add targets for the main CLI,
as well as a helper "install" (put all the built binaries on the local
system in a runnable state) and "dist" target (generate the various
tar/zip files for distribution) for local developer use.
* llama: don't create extraneous directories (#6988)
* llama: Exercise the new build in CI (#6989)
Wire up some basic sanity testing in CI for the Go runner. GPU runners are not covered yet.
* llama: Refine developer docs for Go server (#6842)
This enhances the documentation for development focusing on the new Go
server. After we complete the transition further doc refinements
can remove the "transition" discussion.
* runner.go: Allocate batches for all sequences during init
We should tell the model that we could have full batches for all
sequences. We already do this when we allocate the batches but it was
missed during initialization.
* llama.go: Don't return nil from Tokenize on zero length input
Potentially receiving nil in a non-error condition is surprising to
most callers - it's better to return an empty slice.
* runner.go: Remove stop tokens from cache
If the last token is EOG then we don't return this and it isn't
present in the cache (because it was never submitted to Decode).
This works well for extending the cache entry with a new sequence.
However, for multi-token stop sequences, we won't return any of the
tokens but all but the last one will be in the cache. This means
when the conversation continues the cache will contain tokens that
don't overlap with the new prompt.
This works (we will pick up the portion where there is overlap) but
it causes unnecessary cache thrashing because we will fork the original
cache entry as it is not a perfect match.
By trimming the cache to the tokens that we actually return this
issue can be avoided.
* runner.go: Simplify flushing of pending tokens
* runner.go: Update TODOs
* runner.go: Don't panic when processing sequences
If there is an error processing a sequence, we should return a
clean HTTP error back to Ollama rather than panicing. This will
make us more resilient to transient failures.
Panics can still occur during startup as there is no way to serve
requests if that fails.
Co-authored-by: jmorganca <jmorganca@gmail.com>
* runner.go: More accurately capture timings
Currently prompt processing time doesn't capture the that it takes
to tokenize the input, only decoding time. We should capture the
full process to more accurately reflect reality. This is especially
true once we start processing images where the initial processing
can take significant time. This is also more consistent with the
existing C++ runner.
* runner.go: Support for vision models
In addition to bringing feature parity with the C++ runner, this also
incorporates several improvements:
- Cache prompting works with images, avoiding the need to re-decode
embeddings for every message in a conversation
- Parallelism is supported, avoiding the need to restrict to one
sequence at a time. (Though for now Ollama will not schedule
them while we might need to fall back to the old runner.)
Co-authored-by: jmorganca <jmorganca@gmail.com>
* runner.go: Move Unicode checking code and add tests
* runner.go: Export external cache members
Runner and cache are in the same package so the change doesn't
affect anything but it is more internally consistent.
* runner.go: Image embedding cache
Generating embeddings from images can take significant time (on
my machine between 100ms and 8s depending on the model). Although
we already cache the result of decoding these images, the embeddings
need to be regenerated every time. This is not necessary if we get
the same image over and over again, for example, during a conversation.
This currently uses a very small cache with a very simple algorithm
but it is easy to improve as is warranted.
* llama: catch up on patches
Carry forward solar-pro and cli-unicode patches
* runner.go: Don't re-allocate memory for every batch
We can reuse memory allocated from batch to batch since batch
size is fixed. This both saves the cost of reallocation as well
keeps the cache lines hot.
This results in a roughly 1% performance improvement for token
generation with Nvidia GPUs on Linux.
* runner.go: Default to classic input cache policy
The input cache as part of the go runner implemented a cache
policy that aims to maximize hit rate in both single and multi-
user scenarios. When there is a cache hit, the response is
very fast.
However, performance is actually slower when there is an input
cache miss due to worse GPU VRAM locality. This means that
performance is generally better overall for multi-user scenarios
(better input cache hit rate, locality was relatively poor already).
But worse for single users (input cache hit rate is about the same,
locality is now worse).
This defaults the policy back to the old one to avoid a regression
but keeps the new one available through an environment variable
OLLAMA_MULTIUSER_CACHE. This is left undocumented as the goal is
to improve this in the future to get the best of both worlds
without user configuration.
For inputs that result in cache misses, on Nvidia/Linux this
change improves performance by 31% for prompt processing and
13% for token generation.
* runner.go: Increase size of response channel
Generally the CPU can easily keep up with handling reponses that
are generated but there's no reason not to let generation continue
and handle things in larger batches if needed.
* llama: Add CI to verify all vendored changes have patches (#7066)
Make sure we don't accidentally merge changes in the vendored code
that aren't also reflected in the patches.
* llama: adjust clip patch for mingw utf-16 (#7065)
* llama: adjust clip patch for mingw utf-16
* llama: ensure static linking of runtime libs
Avoid runtime dependencies on non-standard libraries
* runner.go: Enable llamafile (all platforms) and BLAS (Mac OS)
These are two features that are shown on llama.cpp's system info
that are currently different between the two runners. On my test
systems the performance difference is very small to negligible
but it is probably still good to equalize the features.
* llm: Don't add BOS/EOS for tokenize requests
This is consistent with what server.cpp currently does. It affects
things like token processing counts for embedding requests.
* runner.go: Don't cache prompts for embeddings
Our integration with server.cpp implicitly disables prompt caching
because it is not part of the JSON object being parsed, this makes
the Go runner behavior similarly.
Prompt caching has been seen to affect the results of text completions
on certain hardware. The results are not wrong either way but they
are non-deterministic. However, embeddings seem to be affected even
on hardware that does not show this behavior for completions. For
now, it is best to maintain consistency with the existing behavior.
* runner.go: Adjust debug log levels
Add system info printed at startup and quiet down noisier logging.
* llama: fix compiler flag differences (#7082)
Adjust the flags for the new Go server to more closely match the
generate flow
* llama: refine developer docs (#7121)
* llama: doc and example clean up (#7122)
* llama: doc and example clean up
* llama: Move new dockerfile into llama dir
Temporary home until we fully transition to the Go server
* llama: runner doc cleanup
* llama.go: Add description for Tokenize error case
---------
Co-authored-by: Jesse Gross <jesse@ollama.com>
Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
Co-authored-by: Daniel Hiltgen <dhiltgen@users.noreply.github.com>
2024-10-08 15:53:54 +00:00
|
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|
/**
|
2024-10-17 18:59:52 +00:00
|
|
|
* llama.cpp - commit 3f1ae2e32cde00c39b96be6d01c2997c29bae555 - do not edit this file
|
Re-introduce the `llama` package (#5034)
* Re-introduce the llama package
This PR brings back the llama package, making it possible to call llama.cpp and
ggml APIs from Go directly via CGo. This has a few advantages:
- C APIs can be called directly from Go without needing to use the previous
"server" REST API
- On macOS and for CPU builds on Linux and Windows, Ollama can be built without
a go generate ./... step, making it easy to get up and running to hack on
parts of Ollama that don't require fast inference
- Faster build times for AVX,AVX2,CUDA and ROCM (a full build of all runners
takes <5 min on a fast CPU)
- No git submodule making it easier to clone and build from source
This is a big PR, but much of it is vendor code except for:
- llama.go CGo bindings
- example/: a simple example of running inference
- runner/: a subprocess server designed to replace the llm/ext_server package
- Makefile an as minimal as possible Makefile to build the runner package for
different targets (cpu, avx, avx2, cuda, rocm)
Co-authored-by: Jesse Gross <jesse@ollama.com>
Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
* cache: Clear old KV cache entries when evicting a slot
When forking a cache entry, if no empty slots are available we
evict the least recently used one and copy over the KV entries
from the closest match. However, this copy does not overwrite
existing values but only adds new ones. Therefore, we need to
clear the old slot first.
This change fixes two issues:
- The KV cache fills up and runs out of space even though we think
we are managing it correctly
- Performance gets worse over time as we use new cache entries that
are not hot in the processor caches
* doc: explain golang objc linker warning (#6830)
* llama: gather transitive dependencies for rocm for dist packaging (#6848)
* Refine go server makefiles to be more DRY (#6924)
This breaks up the monolithic Makefile for the Go based runners into a
set of utility files as well as recursive Makefiles for the runners.
Files starting with the name "Makefile" are buildable, while files that
end with ".make" are utilities to include in other Makefiles. This
reduces the amount of nearly identical targets and helps set a pattern
for future community contributions for new GPU runner architectures.
When we are ready to switch over to the Go runners, these files should
move to the top of the repo, and we should add targets for the main CLI,
as well as a helper "install" (put all the built binaries on the local
system in a runnable state) and "dist" target (generate the various
tar/zip files for distribution) for local developer use.
* llama: don't create extraneous directories (#6988)
* llama: Exercise the new build in CI (#6989)
Wire up some basic sanity testing in CI for the Go runner. GPU runners are not covered yet.
* llama: Refine developer docs for Go server (#6842)
This enhances the documentation for development focusing on the new Go
server. After we complete the transition further doc refinements
can remove the "transition" discussion.
* runner.go: Allocate batches for all sequences during init
We should tell the model that we could have full batches for all
sequences. We already do this when we allocate the batches but it was
missed during initialization.
* llama.go: Don't return nil from Tokenize on zero length input
Potentially receiving nil in a non-error condition is surprising to
most callers - it's better to return an empty slice.
* runner.go: Remove stop tokens from cache
If the last token is EOG then we don't return this and it isn't
present in the cache (because it was never submitted to Decode).
This works well for extending the cache entry with a new sequence.
However, for multi-token stop sequences, we won't return any of the
tokens but all but the last one will be in the cache. This means
when the conversation continues the cache will contain tokens that
don't overlap with the new prompt.
This works (we will pick up the portion where there is overlap) but
it causes unnecessary cache thrashing because we will fork the original
cache entry as it is not a perfect match.
By trimming the cache to the tokens that we actually return this
issue can be avoided.
* runner.go: Simplify flushing of pending tokens
* runner.go: Update TODOs
* runner.go: Don't panic when processing sequences
If there is an error processing a sequence, we should return a
clean HTTP error back to Ollama rather than panicing. This will
make us more resilient to transient failures.
Panics can still occur during startup as there is no way to serve
requests if that fails.
Co-authored-by: jmorganca <jmorganca@gmail.com>
* runner.go: More accurately capture timings
Currently prompt processing time doesn't capture the that it takes
to tokenize the input, only decoding time. We should capture the
full process to more accurately reflect reality. This is especially
true once we start processing images where the initial processing
can take significant time. This is also more consistent with the
existing C++ runner.
* runner.go: Support for vision models
In addition to bringing feature parity with the C++ runner, this also
incorporates several improvements:
- Cache prompting works with images, avoiding the need to re-decode
embeddings for every message in a conversation
- Parallelism is supported, avoiding the need to restrict to one
sequence at a time. (Though for now Ollama will not schedule
them while we might need to fall back to the old runner.)
Co-authored-by: jmorganca <jmorganca@gmail.com>
* runner.go: Move Unicode checking code and add tests
* runner.go: Export external cache members
Runner and cache are in the same package so the change doesn't
affect anything but it is more internally consistent.
* runner.go: Image embedding cache
Generating embeddings from images can take significant time (on
my machine between 100ms and 8s depending on the model). Although
we already cache the result of decoding these images, the embeddings
need to be regenerated every time. This is not necessary if we get
the same image over and over again, for example, during a conversation.
This currently uses a very small cache with a very simple algorithm
but it is easy to improve as is warranted.
* llama: catch up on patches
Carry forward solar-pro and cli-unicode patches
* runner.go: Don't re-allocate memory for every batch
We can reuse memory allocated from batch to batch since batch
size is fixed. This both saves the cost of reallocation as well
keeps the cache lines hot.
This results in a roughly 1% performance improvement for token
generation with Nvidia GPUs on Linux.
* runner.go: Default to classic input cache policy
The input cache as part of the go runner implemented a cache
policy that aims to maximize hit rate in both single and multi-
user scenarios. When there is a cache hit, the response is
very fast.
However, performance is actually slower when there is an input
cache miss due to worse GPU VRAM locality. This means that
performance is generally better overall for multi-user scenarios
(better input cache hit rate, locality was relatively poor already).
But worse for single users (input cache hit rate is about the same,
locality is now worse).
This defaults the policy back to the old one to avoid a regression
but keeps the new one available through an environment variable
OLLAMA_MULTIUSER_CACHE. This is left undocumented as the goal is
to improve this in the future to get the best of both worlds
without user configuration.
For inputs that result in cache misses, on Nvidia/Linux this
change improves performance by 31% for prompt processing and
13% for token generation.
* runner.go: Increase size of response channel
Generally the CPU can easily keep up with handling reponses that
are generated but there's no reason not to let generation continue
and handle things in larger batches if needed.
* llama: Add CI to verify all vendored changes have patches (#7066)
Make sure we don't accidentally merge changes in the vendored code
that aren't also reflected in the patches.
* llama: adjust clip patch for mingw utf-16 (#7065)
* llama: adjust clip patch for mingw utf-16
* llama: ensure static linking of runtime libs
Avoid runtime dependencies on non-standard libraries
* runner.go: Enable llamafile (all platforms) and BLAS (Mac OS)
These are two features that are shown on llama.cpp's system info
that are currently different between the two runners. On my test
systems the performance difference is very small to negligible
but it is probably still good to equalize the features.
* llm: Don't add BOS/EOS for tokenize requests
This is consistent with what server.cpp currently does. It affects
things like token processing counts for embedding requests.
* runner.go: Don't cache prompts for embeddings
Our integration with server.cpp implicitly disables prompt caching
because it is not part of the JSON object being parsed, this makes
the Go runner behavior similarly.
Prompt caching has been seen to affect the results of text completions
on certain hardware. The results are not wrong either way but they
are non-deterministic. However, embeddings seem to be affected even
on hardware that does not show this behavior for completions. For
now, it is best to maintain consistency with the existing behavior.
* runner.go: Adjust debug log levels
Add system info printed at startup and quiet down noisier logging.
* llama: fix compiler flag differences (#7082)
Adjust the flags for the new Go server to more closely match the
generate flow
* llama: refine developer docs (#7121)
* llama: doc and example clean up (#7122)
* llama: doc and example clean up
* llama: Move new dockerfile into llama dir
Temporary home until we fully transition to the Go server
* llama: runner doc cleanup
* llama.go: Add description for Tokenize error case
---------
Co-authored-by: Jesse Gross <jesse@ollama.com>
Co-authored-by: Daniel Hiltgen <daniel@ollama.com>
Co-authored-by: Daniel Hiltgen <dhiltgen@users.noreply.github.com>
2024-10-08 15:53:54 +00:00
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*
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* MIT License
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*
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* Copyright (c) 2023-2024 The ggml authors
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include "json-schema-to-grammar.h"
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#include <algorithm>
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#include <fstream>
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#include <map>
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#include <regex>
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#include <sstream>
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#include <string>
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#include <unordered_map>
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#include <unordered_set>
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#include <vector>
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using json = nlohmann::ordered_json;
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template <typename Iterator>
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static std::string join(Iterator begin, Iterator end, const std::string & separator);
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static std::string repeat(const std::string & str, size_t n);
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static std::string build_repetition(const std::string & item_rule, int min_items, int max_items, const std::string & separator_rule = "") {
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auto has_max = max_items != std::numeric_limits<int>::max();
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if (min_items == 0 && max_items == 1) {
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return item_rule + "?";
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}
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if (separator_rule.empty()) {
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if (min_items == 1 && !has_max) {
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return item_rule + "+";
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} else if (min_items == 0 && !has_max) {
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return item_rule + "*";
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} else {
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return item_rule + "{" + std::to_string(min_items) + "," + (has_max ? std::to_string(max_items) : "") + "}";
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}
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}
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auto result = item_rule + " " + build_repetition("(" + separator_rule + " " + item_rule + ")", min_items == 0 ? 0 : min_items - 1, has_max ? max_items - 1 : max_items);
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if (min_items == 0) {
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result = "(" + result + ")?";
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}
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return result;
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}
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/* Minimalistic replacement for std::string_view, which is only available from C++17 onwards */
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class string_view {
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const std::string & _str;
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const size_t _start;
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const size_t _end;
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public:
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string_view(const std::string & str, size_t start = 0, size_t end = std::string::npos) : _str(str), _start(start), _end(end == std::string::npos ? str.length() : end) {}
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size_t size() const {
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return _end - _start;
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}
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size_t length() const {
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return size();
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}
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operator std::string() const {
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return str();
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}
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std::string str() const {
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return _str.substr(_start, _end - _start);
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}
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string_view substr(size_t pos, size_t len = std::string::npos) const {
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return string_view(_str, _start + pos, len == std::string::npos ? _end : _start + pos + len);
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}
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char operator[](size_t pos) const {
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auto index = _start + pos;
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if (index >= _end) {
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throw std::out_of_range("string_view index out of range");
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}
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return _str[_start + pos];
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}
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bool operator==(const string_view & other) const {
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std::string this_str = *this;
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std::string other_str = other;
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return this_str == other_str;
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}
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};
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static void _build_min_max_int(int min_value, int max_value, std::stringstream & out, int decimals_left = 16, bool top_level = true) {
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auto has_min = min_value != std::numeric_limits<int>::min();
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auto has_max = max_value != std::numeric_limits<int>::max();
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auto digit_range = [&](char from, char to) {
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out << "[";
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if (from == to) {
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out << from;
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} else {
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out << from << "-" << to;
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}
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out << "]";
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};
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auto more_digits = [&](int min_digits, int max_digits) {
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out << "[0-9]";
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if (min_digits == max_digits && min_digits == 1) {
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return;
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|
|
}
|
|
|
|
out << "{";
|
|
|
|
out << min_digits;
|
|
|
|
if (max_digits != min_digits) {
|
|
|
|
out << ",";
|
|
|
|
if (max_digits != std::numeric_limits<int>::max()) {
|
|
|
|
out << max_digits;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
out << "}";
|
|
|
|
};
|
|
|
|
std::function<void(const string_view &, const string_view &)> uniform_range =
|
|
|
|
[&](const string_view & from, const string_view & to) {
|
|
|
|
size_t i = 0;
|
|
|
|
while (i < from.length() && i < to.length() && from[i] == to[i]) {
|
|
|
|
i++;
|
|
|
|
}
|
|
|
|
if (i > 0) {
|
|
|
|
out << "\"" << from.substr(0, i).str() << "\"";
|
|
|
|
}
|
|
|
|
if (i < from.length() && i < to.length()) {
|
|
|
|
if (i > 0) {
|
|
|
|
out << " ";
|
|
|
|
}
|
|
|
|
auto sub_len = from.length() - i - 1;
|
|
|
|
if (sub_len > 0) {
|
|
|
|
auto from_sub = from.substr(i + 1);
|
|
|
|
auto to_sub = to.substr(i + 1);
|
|
|
|
auto sub_zeros = repeat("0", sub_len);
|
|
|
|
auto sub_nines = repeat("9", sub_len);
|
|
|
|
|
|
|
|
auto to_reached = false;
|
|
|
|
out << "(";
|
|
|
|
if (from_sub == sub_zeros) {
|
|
|
|
digit_range(from[i], to[i] - 1);
|
|
|
|
out << " ";
|
|
|
|
more_digits(sub_len, sub_len);
|
|
|
|
} else {
|
|
|
|
out << "[" << from[i] << "] ";
|
|
|
|
out << "(";
|
|
|
|
uniform_range(from_sub, sub_nines);
|
|
|
|
out << ")";
|
|
|
|
if (from[i] < to[i] - 1) {
|
|
|
|
out << " | ";
|
|
|
|
if (to_sub == sub_nines) {
|
|
|
|
digit_range(from[i] + 1, to[i]);
|
|
|
|
to_reached = true;
|
|
|
|
} else {
|
|
|
|
digit_range(from[i] + 1, to[i] - 1);
|
|
|
|
}
|
|
|
|
out << " ";
|
|
|
|
more_digits(sub_len, sub_len);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
if (!to_reached) {
|
|
|
|
out << " | ";
|
|
|
|
digit_range(to[i], to[i]);
|
|
|
|
out << " ";
|
|
|
|
uniform_range(sub_zeros, to_sub);
|
|
|
|
}
|
|
|
|
out << ")";
|
|
|
|
} else {
|
|
|
|
out << "[" << from[i] << "-" << to[i] << "]";
|
|
|
|
}
|
|
|
|
}
|
|
|
|
};
|
|
|
|
|
|
|
|
if (has_min && has_max) {
|
|
|
|
if (min_value < 0 && max_value < 0) {
|
|
|
|
out << "\"-\" (";
|
|
|
|
_build_min_max_int(-max_value, -min_value, out, decimals_left, /* top_level= */ true);
|
|
|
|
out << ")";
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
|
|
|
|
if (min_value < 0) {
|
|
|
|
out << "\"-\" (";
|
|
|
|
_build_min_max_int(0, -min_value, out, decimals_left, /* top_level= */ true);
|
|
|
|
out << ") | ";
|
|
|
|
min_value = 0;
|
|
|
|
}
|
|
|
|
|
|
|
|
auto min_s = std::to_string(min_value);
|
|
|
|
auto max_s = std::to_string(max_value);
|
|
|
|
auto min_digits = min_s.length();
|
|
|
|
auto max_digits = max_s.length();
|
|
|
|
|
|
|
|
for (auto digits = min_digits; digits < max_digits; digits++) {
|
|
|
|
uniform_range(min_s, repeat("9", digits));
|
|
|
|
min_s = "1" + repeat("0", digits);
|
|
|
|
out << " | ";
|
|
|
|
}
|
|
|
|
uniform_range(min_s, max_s);
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
|
|
|
|
auto less_decimals = std::max(decimals_left - 1, 1);
|
|
|
|
|
|
|
|
if (has_min) {
|
|
|
|
if (min_value < 0) {
|
|
|
|
out << "\"-\" (";
|
|
|
|
_build_min_max_int(std::numeric_limits<int>::min(), -min_value, out, decimals_left, /* top_level= */ false);
|
|
|
|
out << ") | [0] | [1-9] ";
|
|
|
|
more_digits(0, decimals_left - 1);
|
|
|
|
} else if (min_value == 0) {
|
|
|
|
if (top_level) {
|
|
|
|
out << "[0] | [1-9] ";
|
|
|
|
more_digits(0, less_decimals);
|
|
|
|
} else {
|
|
|
|
more_digits(1, decimals_left);
|
|
|
|
}
|
|
|
|
} else if (min_value <= 9) {
|
|
|
|
char c = '0' + min_value;
|
|
|
|
auto range_start = top_level ? '1' : '0';
|
|
|
|
if (c > range_start) {
|
|
|
|
digit_range(range_start, c - 1);
|
|
|
|
out << " ";
|
|
|
|
more_digits(1, less_decimals);
|
|
|
|
out << " | ";
|
|
|
|
}
|
|
|
|
digit_range(c, '9');
|
|
|
|
out << " ";
|
|
|
|
more_digits(0, less_decimals);
|
|
|
|
} else {
|
|
|
|
auto min_s = std::to_string(min_value);
|
|
|
|
auto len = min_s.length();
|
|
|
|
auto c = min_s[0];
|
|
|
|
|
|
|
|
if (c > '1') {
|
|
|
|
digit_range(top_level ? '1' : '0', c - 1);
|
|
|
|
out << " ";
|
|
|
|
more_digits(len, less_decimals);
|
|
|
|
out << " | ";
|
|
|
|
}
|
|
|
|
digit_range(c, c);
|
|
|
|
out << " (";
|
|
|
|
_build_min_max_int(std::stoi(min_s.substr(1)), std::numeric_limits<int>::max(), out, less_decimals, /* top_level= */ false);
|
|
|
|
out << ")";
|
|
|
|
if (c < '9') {
|
|
|
|
out << " | ";
|
|
|
|
digit_range(c + 1, '9');
|
|
|
|
out << " ";
|
|
|
|
more_digits(len - 1, less_decimals);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
|
|
|
|
if (has_max) {
|
|
|
|
if (max_value >= 0) {
|
|
|
|
if (top_level) {
|
|
|
|
out << "\"-\" [1-9] ";
|
|
|
|
more_digits(0, less_decimals);
|
|
|
|
out << " | ";
|
|
|
|
}
|
|
|
|
_build_min_max_int(0, max_value, out, decimals_left, /* top_level= */ true);
|
|
|
|
} else {
|
|
|
|
out << "\"-\" (";
|
|
|
|
_build_min_max_int(-max_value, std::numeric_limits<int>::max(), out, decimals_left, /* top_level= */ false);
|
|
|
|
out << ")";
|
|
|
|
}
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
|
|
|
|
throw std::runtime_error("At least one of min_value or max_value must be set");
|
|
|
|
}
|
|
|
|
|
|
|
|
const std::string SPACE_RULE = "| \" \" | \"\\n\" [ \\t]{0,20}";
|
|
|
|
|
|
|
|
struct BuiltinRule {
|
|
|
|
std::string content;
|
|
|
|
std::vector<std::string> deps;
|
|
|
|
};
|
|
|
|
|
|
|
|
std::unordered_map<std::string, BuiltinRule> PRIMITIVE_RULES = {
|
|
|
|
{"boolean", {"(\"true\" | \"false\") space", {}}},
|
|
|
|
{"decimal-part", {"[0-9]{1,16}", {}}},
|
|
|
|
{"integral-part", {"[0] | [1-9] [0-9]{0,15}", {}}},
|
|
|
|
{"number", {"(\"-\"? integral-part) (\".\" decimal-part)? ([eE] [-+]? integral-part)? space", {"integral-part", "decimal-part"}}},
|
|
|
|
{"integer", {"(\"-\"? integral-part) space", {"integral-part"}}},
|
|
|
|
{"value", {"object | array | string | number | boolean | null", {"object", "array", "string", "number", "boolean", "null"}}},
|
|
|
|
{"object", {"\"{\" space ( string \":\" space value (\",\" space string \":\" space value)* )? \"}\" space", {"string", "value"}}},
|
|
|
|
{"array", {"\"[\" space ( value (\",\" space value)* )? \"]\" space", {"value"}}},
|
|
|
|
{"uuid", {"\"\\\"\" [0-9a-fA-F]{8} \"-\" [0-9a-fA-F]{4} \"-\" [0-9a-fA-F]{4} \"-\" [0-9a-fA-F]{4} \"-\" [0-9a-fA-F]{12} \"\\\"\" space", {}}},
|
|
|
|
{"char", {"[^\"\\\\\\x7F\\x00-\\x1F] | [\\\\] ([\"\\\\bfnrt] | \"u\" [0-9a-fA-F]{4})", {}}},
|
|
|
|
{"string", {"\"\\\"\" char* \"\\\"\" space", {"char"}}},
|
|
|
|
{"null", {"\"null\" space", {}}},
|
|
|
|
};
|
|
|
|
|
|
|
|
std::unordered_map<std::string, BuiltinRule> STRING_FORMAT_RULES = {
|
|
|
|
{"date", {"[0-9]{4} \"-\" ( \"0\" [1-9] | \"1\" [0-2] ) \"-\" ( \"0\" [1-9] | [1-2] [0-9] | \"3\" [0-1] )", {}}},
|
|
|
|
{"time", {"([01] [0-9] | \"2\" [0-3]) \":\" [0-5] [0-9] \":\" [0-5] [0-9] ( \".\" [0-9]{3} )? ( \"Z\" | ( \"+\" | \"-\" ) ( [01] [0-9] | \"2\" [0-3] ) \":\" [0-5] [0-9] )", {}}},
|
|
|
|
{"date-time", {"date \"T\" time", {"date", "time"}}},
|
|
|
|
{"date-string", {"\"\\\"\" date \"\\\"\" space", {"date"}}},
|
|
|
|
{"time-string", {"\"\\\"\" time \"\\\"\" space", {"time"}}},
|
|
|
|
{"date-time-string", {"\"\\\"\" date-time \"\\\"\" space", {"date-time"}}}
|
|
|
|
};
|
|
|
|
|
|
|
|
static bool is_reserved_name(const std::string & name) {
|
|
|
|
static std::unordered_set<std::string> RESERVED_NAMES;
|
|
|
|
if (RESERVED_NAMES.empty()) {
|
|
|
|
RESERVED_NAMES.insert("root");
|
|
|
|
for (const auto &p : PRIMITIVE_RULES) RESERVED_NAMES.insert(p.first);
|
|
|
|
for (const auto &p : STRING_FORMAT_RULES) RESERVED_NAMES.insert(p.first);
|
|
|
|
}
|
|
|
|
return RESERVED_NAMES.find(name) != RESERVED_NAMES.end();
|
|
|
|
}
|
|
|
|
|
|
|
|
std::regex INVALID_RULE_CHARS_RE("[^a-zA-Z0-9-]+");
|
|
|
|
std::regex GRAMMAR_LITERAL_ESCAPE_RE("[\r\n\"]");
|
|
|
|
std::regex GRAMMAR_RANGE_LITERAL_ESCAPE_RE("[\r\n\"\\]\\-\\\\]");
|
|
|
|
std::unordered_map<char, std::string> GRAMMAR_LITERAL_ESCAPES = {
|
|
|
|
{'\r', "\\r"}, {'\n', "\\n"}, {'"', "\\\""}, {'-', "\\-"}, {']', "\\]"}
|
|
|
|
};
|
|
|
|
|
|
|
|
std::unordered_set<char> NON_LITERAL_SET = {'|', '.', '(', ')', '[', ']', '{', '}', '*', '+', '?'};
|
|
|
|
std::unordered_set<char> ESCAPED_IN_REGEXPS_BUT_NOT_IN_LITERALS = {'^', '$', '.', '[', ']', '(', ')', '|', '{', '}', '*', '+', '?'};
|
|
|
|
|
|
|
|
template <typename Iterator>
|
|
|
|
std::string join(Iterator begin, Iterator end, const std::string & separator) {
|
|
|
|
std::ostringstream result;
|
|
|
|
if (begin != end) {
|
|
|
|
result << *begin;
|
|
|
|
for (Iterator it = begin + 1; it != end; ++it) {
|
|
|
|
result << separator << *it;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return result.str();
|
|
|
|
}
|
|
|
|
|
|
|
|
static std::vector<std::string> split(const std::string & str, const std::string & delimiter) {
|
|
|
|
std::vector<std::string> tokens;
|
|
|
|
size_t start = 0;
|
|
|
|
size_t end = str.find(delimiter);
|
|
|
|
|
|
|
|
while (end != std::string::npos) {
|
|
|
|
tokens.push_back(str.substr(start, end - start));
|
|
|
|
start = end + delimiter.length();
|
|
|
|
end = str.find(delimiter, start);
|
|
|
|
}
|
|
|
|
|
|
|
|
tokens.push_back(str.substr(start));
|
|
|
|
|
|
|
|
return tokens;
|
|
|
|
}
|
|
|
|
|
|
|
|
static std::string repeat(const std::string & str, size_t n) {
|
|
|
|
if (n == 0) {
|
|
|
|
return "";
|
|
|
|
}
|
|
|
|
|
|
|
|
std::string result;
|
|
|
|
result.reserve(str.length() * n);
|
|
|
|
|
|
|
|
for (size_t i = 0; i < n; ++i) {
|
|
|
|
result += str;
|
|
|
|
}
|
|
|
|
|
|
|
|
return result;
|
|
|
|
}
|
|
|
|
|
|
|
|
static std::string replacePattern(const std::string & input, const std::regex & regex, const std::function<std::string(const std::smatch &)> & replacement) {
|
|
|
|
std::smatch match;
|
|
|
|
std::string result;
|
|
|
|
|
|
|
|
std::string::const_iterator searchStart(input.cbegin());
|
|
|
|
std::string::const_iterator searchEnd(input.cend());
|
|
|
|
|
|
|
|
while (std::regex_search(searchStart, searchEnd, match, regex)) {
|
|
|
|
result.append(searchStart, searchStart + match.position());
|
|
|
|
result.append(replacement(match));
|
|
|
|
searchStart = match.suffix().first;
|
|
|
|
}
|
|
|
|
|
|
|
|
result.append(searchStart, searchEnd);
|
|
|
|
|
|
|
|
return result;
|
|
|
|
}
|
|
|
|
|
|
|
|
static std::string format_literal(const std::string & literal) {
|
|
|
|
std::string escaped = replacePattern(literal, GRAMMAR_LITERAL_ESCAPE_RE, [&](const std::smatch & match) {
|
|
|
|
char c = match.str()[0];
|
|
|
|
return GRAMMAR_LITERAL_ESCAPES.at(c);
|
|
|
|
});
|
|
|
|
return "\"" + escaped + "\"";
|
|
|
|
}
|
|
|
|
|
|
|
|
class SchemaConverter {
|
|
|
|
private:
|
|
|
|
std::function<json(const std::string &)> _fetch_json;
|
|
|
|
bool _dotall;
|
|
|
|
std::map<std::string, std::string> _rules;
|
|
|
|
std::unordered_map<std::string, json> _refs;
|
|
|
|
std::unordered_set<std::string> _refs_being_resolved;
|
|
|
|
std::vector<std::string> _errors;
|
|
|
|
std::vector<std::string> _warnings;
|
|
|
|
|
|
|
|
std::string _add_rule(const std::string & name, const std::string & rule) {
|
|
|
|
std::string esc_name = regex_replace(name, INVALID_RULE_CHARS_RE, "-");
|
|
|
|
if (_rules.find(esc_name) == _rules.end() || _rules[esc_name] == rule) {
|
|
|
|
_rules[esc_name] = rule;
|
|
|
|
return esc_name;
|
|
|
|
} else {
|
|
|
|
int i = 0;
|
|
|
|
while (_rules.find(esc_name + std::to_string(i)) != _rules.end() && _rules[esc_name + std::to_string(i)] != rule) {
|
|
|
|
i++;
|
|
|
|
}
|
|
|
|
std::string key = esc_name + std::to_string(i);
|
|
|
|
_rules[key] = rule;
|
|
|
|
return key;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
std::string _generate_union_rule(const std::string & name, const std::vector<json> & alt_schemas) {
|
|
|
|
std::vector<std::string> rules;
|
|
|
|
for (size_t i = 0; i < alt_schemas.size(); i++) {
|
|
|
|
rules.push_back(visit(alt_schemas[i], name + (name.empty() ? "alternative-" : "-") + std::to_string(i)));
|
|
|
|
}
|
|
|
|
return join(rules.begin(), rules.end(), " | ");
|
|
|
|
}
|
|
|
|
|
|
|
|
std::string _visit_pattern(const std::string & pattern, const std::string & name) {
|
|
|
|
if (!(pattern.front() == '^' && pattern.back() == '$')) {
|
|
|
|
_errors.push_back("Pattern must start with '^' and end with '$'");
|
|
|
|
return "";
|
|
|
|
}
|
|
|
|
std::string sub_pattern = pattern.substr(1, pattern.length() - 2);
|
|
|
|
std::unordered_map<std::string, std::string> sub_rule_ids;
|
|
|
|
|
|
|
|
size_t i = 0;
|
|
|
|
size_t length = sub_pattern.length();
|
|
|
|
|
|
|
|
using literal_or_rule = std::pair<std::string, bool>;
|
|
|
|
auto to_rule = [&](const literal_or_rule & ls) {
|
|
|
|
auto is_literal = ls.second;
|
|
|
|
auto s = ls.first;
|
|
|
|
return is_literal ? "\"" + s + "\"" : s;
|
|
|
|
};
|
|
|
|
std::function<literal_or_rule()> transform = [&]() -> literal_or_rule {
|
|
|
|
size_t start = i;
|
|
|
|
std::vector<literal_or_rule> seq;
|
|
|
|
|
|
|
|
auto get_dot = [&]() {
|
|
|
|
std::string rule;
|
|
|
|
if (_dotall) {
|
|
|
|
rule = "[\\U00000000-\\U0010FFFF]";
|
|
|
|
} else {
|
|
|
|
rule = "[^\\x0A\\x0D]";
|
|
|
|
}
|
|
|
|
return _add_rule("dot", rule);
|
|
|
|
};
|
|
|
|
|
|
|
|
// Joins the sequence, merging consecutive literals together.
|
|
|
|
auto join_seq = [&]() {
|
|
|
|
std::vector<literal_or_rule> ret;
|
|
|
|
|
|
|
|
std::string literal;
|
|
|
|
auto flush_literal = [&]() {
|
|
|
|
if (literal.empty()) {
|
|
|
|
return false;
|
|
|
|
}
|
|
|
|
ret.emplace_back(literal, true);
|
|
|
|
literal.clear();
|
|
|
|
return true;
|
|
|
|
};
|
|
|
|
|
|
|
|
for (const auto & item : seq) {
|
|
|
|
auto is_literal = item.second;
|
|
|
|
if (is_literal) {
|
|
|
|
literal += item.first;
|
|
|
|
} else {
|
|
|
|
flush_literal();
|
|
|
|
ret.push_back(item);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
flush_literal();
|
|
|
|
|
|
|
|
std::vector<std::string> results;
|
|
|
|
for (const auto & item : ret) {
|
|
|
|
results.push_back(to_rule(item));
|
|
|
|
}
|
|
|
|
return std::make_pair(join(results.begin(), results.end(), " "), false);
|
|
|
|
};
|
|
|
|
|
|
|
|
while (i < length) {
|
|
|
|
char c = sub_pattern[i];
|
|
|
|
if (c == '.') {
|
|
|
|
seq.emplace_back(get_dot(), false);
|
|
|
|
i++;
|
|
|
|
} else if (c == '(') {
|
|
|
|
i++;
|
|
|
|
if (i < length) {
|
|
|
|
if (sub_pattern[i] == '?') {
|
|
|
|
_warnings.push_back("Unsupported pattern syntax");
|
|
|
|
}
|
|
|
|
}
|
|
|
|
seq.emplace_back("(" + to_rule(transform()) + ")", false);
|
|
|
|
} else if (c == ')') {
|
|
|
|
i++;
|
|
|
|
if (start > 0 && sub_pattern[start - 1] != '(') {
|
|
|
|
_errors.push_back("Unbalanced parentheses");
|
|
|
|
}
|
|
|
|
return join_seq();
|
|
|
|
} else if (c == '[') {
|
|
|
|
std::string square_brackets = std::string(1, c);
|
|
|
|
i++;
|
|
|
|
while (i < length && sub_pattern[i] != ']') {
|
|
|
|
if (sub_pattern[i] == '\\') {
|
|
|
|
square_brackets += sub_pattern.substr(i, 2);
|
|
|
|
i += 2;
|
|
|
|
} else {
|
|
|
|
square_brackets += sub_pattern[i];
|
|
|
|
i++;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
if (i >= length) {
|
|
|
|
_errors.push_back("Unbalanced square brackets");
|
|
|
|
}
|
|
|
|
square_brackets += ']';
|
|
|
|
i++;
|
|
|
|
seq.emplace_back(square_brackets, false);
|
|
|
|
} else if (c == '|') {
|
|
|
|
seq.emplace_back("|", false);
|
|
|
|
i++;
|
|
|
|
} else if (c == '*' || c == '+' || c == '?') {
|
|
|
|
seq.back() = std::make_pair(to_rule(seq.back()) + c, false);
|
|
|
|
i++;
|
|
|
|
} else if (c == '{') {
|
|
|
|
std::string curly_brackets = std::string(1, c);
|
|
|
|
i++;
|
|
|
|
while (i < length && sub_pattern[i] != '}') {
|
|
|
|
curly_brackets += sub_pattern[i];
|
|
|
|
i++;
|
|
|
|
}
|
|
|
|
if (i >= length) {
|
|
|
|
_errors.push_back("Unbalanced curly brackets");
|
|
|
|
}
|
|
|
|
curly_brackets += '}';
|
|
|
|
i++;
|
|
|
|
auto nums = split(curly_brackets.substr(1, curly_brackets.length() - 2), ",");
|
|
|
|
int min_times = 0;
|
|
|
|
int max_times = std::numeric_limits<int>::max();
|
|
|
|
try {
|
|
|
|
if (nums.size() == 1) {
|
|
|
|
min_times = max_times = std::stoi(nums[0]);
|
|
|
|
} else if (nums.size() != 2) {
|
|
|
|
_errors.push_back("Wrong number of values in curly brackets");
|
|
|
|
} else {
|
|
|
|
if (!nums[0].empty()) {
|
|
|
|
min_times = std::stoi(nums[0]);
|
|
|
|
}
|
|
|
|
if (!nums[1].empty()) {
|
|
|
|
max_times = std::stoi(nums[1]);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
} catch (const std::invalid_argument & e) {
|
|
|
|
_errors.push_back("Invalid number in curly brackets");
|
|
|
|
return std::make_pair("", false);
|
|
|
|
}
|
|
|
|
auto &last = seq.back();
|
|
|
|
auto &sub = last.first;
|
|
|
|
auto sub_is_literal = last.second;
|
|
|
|
|
|
|
|
if (!sub_is_literal) {
|
|
|
|
std::string & sub_id = sub_rule_ids[sub];
|
|
|
|
if (sub_id.empty()) {
|
|
|
|
sub_id = _add_rule(name + "-" + std::to_string(sub_rule_ids.size()), sub);
|
|
|
|
}
|
|
|
|
sub = sub_id;
|
|
|
|
}
|
|
|
|
seq.back().first = build_repetition(
|
|
|
|
sub_is_literal ? "\"" + sub + "\"" : sub,
|
|
|
|
min_times,
|
|
|
|
max_times,
|
|
|
|
""
|
|
|
|
);
|
|
|
|
seq.back().second = false;
|
|
|
|
} else {
|
|
|
|
std::string literal;
|
|
|
|
auto is_non_literal = [&](char c) {
|
|
|
|
return NON_LITERAL_SET.find(c) != NON_LITERAL_SET.end();
|
|
|
|
};
|
|
|
|
while (i < length) {
|
|
|
|
if (sub_pattern[i] == '\\' && i < length - 1) {
|
|
|
|
char next = sub_pattern[i + 1];
|
|
|
|
if (ESCAPED_IN_REGEXPS_BUT_NOT_IN_LITERALS.find(next) != ESCAPED_IN_REGEXPS_BUT_NOT_IN_LITERALS.end()) {
|
|
|
|
i++;
|
|
|
|
literal += sub_pattern[i];
|
|
|
|
i++;
|
|
|
|
} else {
|
|
|
|
literal += sub_pattern.substr(i, 2);
|
|
|
|
i += 2;
|
|
|
|
}
|
|
|
|
} else if (sub_pattern[i] == '"') {
|
|
|
|
literal += "\\\"";
|
|
|
|
i++;
|
|
|
|
} else if (!is_non_literal(sub_pattern[i]) &&
|
|
|
|
(i == length - 1 || literal.empty() || sub_pattern[i + 1] == '.' || !is_non_literal(sub_pattern[i + 1]))) {
|
|
|
|
literal += sub_pattern[i];
|
|
|
|
i++;
|
|
|
|
} else {
|
|
|
|
break;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
if (!literal.empty()) {
|
|
|
|
seq.emplace_back(literal, true);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return join_seq();
|
|
|
|
};
|
|
|
|
return _add_rule(name, "\"\\\"\" " + to_rule(transform()) + " \"\\\"\" space");
|
|
|
|
}
|
|
|
|
|
|
|
|
/*
|
|
|
|
Returns a rule that matches a JSON string that is none of the provided strings
|
|
|
|
|
|
|
|
not_strings({"a"})
|
|
|
|
-> ["] ( [a] char+ | [^"a] char* )? ["] space
|
|
|
|
not_strings({"and", "also"})
|
|
|
|
-> ["] ( [a] ([l] ([s] ([o] char+ | [^"o] char*) | [^"s] char*) | [n] ([d] char+ | [^"d] char*) | [^"ln] char*) | [^"a] char* )? ["] space
|
|
|
|
*/
|
|
|
|
std::string _not_strings(const std::vector<std::string> & strings) {
|
|
|
|
|
|
|
|
struct TrieNode {
|
|
|
|
std::map<char, TrieNode> children;
|
|
|
|
bool is_end_of_string;
|
|
|
|
|
|
|
|
TrieNode() : is_end_of_string(false) {}
|
|
|
|
|
|
|
|
void insert(const std::string & string) {
|
|
|
|
auto node = this;
|
|
|
|
for (char c : string) {
|
|
|
|
node = &node->children[c];
|
|
|
|
}
|
|
|
|
node->is_end_of_string = true;
|
|
|
|
}
|
|
|
|
};
|
|
|
|
|
|
|
|
TrieNode trie;
|
|
|
|
for (const auto & s : strings) {
|
|
|
|
trie.insert(s);
|
|
|
|
}
|
|
|
|
|
|
|
|
std::string char_rule = _add_primitive("char", PRIMITIVE_RULES.at("char"));
|
|
|
|
std::ostringstream out;
|
|
|
|
out << "[\"] ( ";
|
|
|
|
std::function<void(const TrieNode &)> visit = [&](const TrieNode & node) {
|
|
|
|
std::ostringstream rejects;
|
|
|
|
auto first = true;
|
|
|
|
for (const auto & kv : node.children) {
|
|
|
|
rejects << kv.first;
|
|
|
|
if (first) {
|
|
|
|
first = false;
|
|
|
|
} else {
|
|
|
|
out << " | ";
|
|
|
|
}
|
|
|
|
out << "[" << kv.first << "]";
|
|
|
|
if (!kv.second.children.empty()) {
|
|
|
|
out << " (";
|
|
|
|
visit(kv.second);
|
|
|
|
out << ")";
|
|
|
|
} else if (kv.second.is_end_of_string) {
|
|
|
|
out << " " << char_rule << "+";
|
|
|
|
}
|
|
|
|
}
|
|
|
|
if (!node.children.empty()) {
|
|
|
|
if (!first) {
|
|
|
|
out << " | ";
|
|
|
|
}
|
|
|
|
out << "[^\"" << rejects.str() << "] " << char_rule << "*";
|
|
|
|
}
|
|
|
|
};
|
|
|
|
visit(trie);
|
|
|
|
|
|
|
|
out << " )";
|
|
|
|
if (!trie.is_end_of_string) {
|
|
|
|
out << "?";
|
|
|
|
}
|
|
|
|
out << " [\"] space";
|
|
|
|
return out.str();
|
|
|
|
}
|
|
|
|
|
|
|
|
std::string _resolve_ref(const std::string & ref) {
|
|
|
|
std::string ref_name = ref.substr(ref.find_last_of('/') + 1);
|
|
|
|
if (_rules.find(ref_name) == _rules.end() && _refs_being_resolved.find(ref) == _refs_being_resolved.end()) {
|
|
|
|
_refs_being_resolved.insert(ref);
|
|
|
|
json resolved = _refs[ref];
|
|
|
|
ref_name = visit(resolved, ref_name);
|
|
|
|
_refs_being_resolved.erase(ref);
|
|
|
|
}
|
|
|
|
return ref_name;
|
|
|
|
}
|
|
|
|
|
|
|
|
std::string _build_object_rule(
|
|
|
|
const std::vector<std::pair<std::string, json>> & properties,
|
|
|
|
const std::unordered_set<std::string> & required,
|
|
|
|
const std::string & name,
|
|
|
|
const json & additional_properties)
|
|
|
|
{
|
|
|
|
std::vector<std::string> required_props;
|
|
|
|
std::vector<std::string> optional_props;
|
|
|
|
std::unordered_map<std::string, std::string> prop_kv_rule_names;
|
|
|
|
std::vector<std::string> prop_names;
|
|
|
|
for (const auto & kv : properties) {
|
|
|
|
const auto &prop_name = kv.first;
|
|
|
|
const auto &prop_schema = kv.second;
|
|
|
|
|
|
|
|
std::string prop_rule_name = visit(prop_schema, name + (name.empty() ? "" : "-") + prop_name);
|
|
|
|
prop_kv_rule_names[prop_name] = _add_rule(
|
|
|
|
name + (name.empty() ? "" : "-") + prop_name + "-kv",
|
|
|
|
format_literal(json(prop_name).dump()) + " space \":\" space " + prop_rule_name
|
|
|
|
);
|
|
|
|
if (required.find(prop_name) != required.end()) {
|
|
|
|
required_props.push_back(prop_name);
|
|
|
|
} else {
|
|
|
|
optional_props.push_back(prop_name);
|
|
|
|
}
|
|
|
|
prop_names.push_back(prop_name);
|
|
|
|
}
|
|
|
|
if ((additional_properties.is_boolean() && additional_properties.get<bool>()) || additional_properties.is_object()) {
|
|
|
|
std::string sub_name = name + (name.empty() ? "" : "-") + "additional";
|
|
|
|
std::string value_rule =
|
|
|
|
additional_properties.is_object() ? visit(additional_properties, sub_name + "-value")
|
|
|
|
: _add_primitive("value", PRIMITIVE_RULES.at("value"));
|
|
|
|
|
|
|
|
auto key_rule =
|
|
|
|
prop_names.empty() ? _add_primitive("string", PRIMITIVE_RULES.at("string"))
|
|
|
|
: _add_rule(sub_name + "-k", _not_strings(prop_names));
|
|
|
|
std::string kv_rule = _add_rule(sub_name + "-kv", key_rule + " \":\" space " + value_rule);
|
|
|
|
prop_kv_rule_names["*"] = kv_rule;
|
|
|
|
optional_props.push_back("*");
|
|
|
|
}
|
|
|
|
|
|
|
|
std::string rule = "\"{\" space ";
|
|
|
|
for (size_t i = 0; i < required_props.size(); i++) {
|
|
|
|
if (i > 0) {
|
|
|
|
rule += " \",\" space ";
|
|
|
|
}
|
|
|
|
rule += prop_kv_rule_names[required_props[i]];
|
|
|
|
}
|
|
|
|
|
|
|
|
if (!optional_props.empty()) {
|
|
|
|
rule += " (";
|
|
|
|
if (!required_props.empty()) {
|
|
|
|
rule += " \",\" space ( ";
|
|
|
|
}
|
|
|
|
|
|
|
|
std::function<std::string(const std::vector<std::string> &, bool)> get_recursive_refs = [&](const std::vector<std::string> & ks, bool first_is_optional) {
|
|
|
|
std::string res;
|
|
|
|
if (ks.empty()) {
|
|
|
|
return res;
|
|
|
|
}
|
|
|
|
std::string k = ks[0];
|
|
|
|
std::string kv_rule_name = prop_kv_rule_names[k];
|
|
|
|
std::string comma_ref = "( \",\" space " + kv_rule_name + " )";
|
|
|
|
if (first_is_optional) {
|
|
|
|
res = comma_ref + (k == "*" ? "*" : "?");
|
|
|
|
} else {
|
|
|
|
res = kv_rule_name + (k == "*" ? " " + comma_ref + "*" : "");
|
|
|
|
}
|
|
|
|
if (ks.size() > 1) {
|
|
|
|
res += " " + _add_rule(
|
|
|
|
name + (name.empty() ? "" : "-") + k + "-rest",
|
|
|
|
get_recursive_refs(std::vector<std::string>(ks.begin() + 1, ks.end()), true)
|
|
|
|
);
|
|
|
|
}
|
|
|
|
return res;
|
|
|
|
};
|
|
|
|
|
|
|
|
for (size_t i = 0; i < optional_props.size(); i++) {
|
|
|
|
if (i > 0) {
|
|
|
|
rule += " | ";
|
|
|
|
}
|
|
|
|
rule += get_recursive_refs(std::vector<std::string>(optional_props.begin() + i, optional_props.end()), false);
|
|
|
|
}
|
|
|
|
if (!required_props.empty()) {
|
|
|
|
rule += " )";
|
|
|
|
}
|
|
|
|
rule += " )?";
|
|
|
|
}
|
|
|
|
|
|
|
|
rule += " \"}\" space";
|
|
|
|
|
|
|
|
return rule;
|
|
|
|
}
|
|
|
|
|
|
|
|
std::string _add_primitive(const std::string & name, const BuiltinRule & rule) {
|
|
|
|
auto n = _add_rule(name, rule.content);
|
|
|
|
for (const auto & dep : rule.deps) {
|
|
|
|
BuiltinRule dep_rule;
|
|
|
|
auto it = PRIMITIVE_RULES.find(dep);
|
|
|
|
if (it == PRIMITIVE_RULES.end()) {
|
|
|
|
it = STRING_FORMAT_RULES.find(dep);
|
|
|
|
if (it == STRING_FORMAT_RULES.end()) {
|
|
|
|
_errors.push_back("Rule " + dep + " not known");
|
|
|
|
continue;
|
|
|
|
}
|
|
|
|
}
|
|
|
|
if (_rules.find(dep) == _rules.end()) {
|
|
|
|
_add_primitive(dep, it->second);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return n;
|
|
|
|
}
|
|
|
|
|
|
|
|
public:
|
|
|
|
SchemaConverter(
|
|
|
|
const std::function<json(const std::string &)> & fetch_json,
|
|
|
|
bool dotall)
|
|
|
|
: _fetch_json(fetch_json), _dotall(dotall)
|
|
|
|
{
|
|
|
|
_rules["space"] = SPACE_RULE;
|
|
|
|
}
|
|
|
|
|
|
|
|
void resolve_refs(json & schema, const std::string & url) {
|
|
|
|
/*
|
|
|
|
* Resolves all $ref fields in the given schema, fetching any remote schemas,
|
|
|
|
* replacing each $ref with absolute reference URL and populates _refs with the
|
|
|
|
* respective referenced (sub)schema dictionaries.
|
|
|
|
*/
|
|
|
|
std::function<void(json &)> visit_refs = [&](json & n) {
|
|
|
|
if (n.is_array()) {
|
|
|
|
for (auto & x : n) {
|
|
|
|
visit_refs(x);
|
|
|
|
}
|
|
|
|
} else if (n.is_object()) {
|
|
|
|
if (n.contains("$ref")) {
|
|
|
|
std::string ref = n["$ref"];
|
|
|
|
if (_refs.find(ref) == _refs.end()) {
|
|
|
|
json target;
|
|
|
|
if (ref.find("https://") == 0) {
|
|
|
|
std::string base_url = ref.substr(0, ref.find('#'));
|
|
|
|
auto it = _refs.find(base_url);
|
|
|
|
if (it != _refs.end()) {
|
|
|
|
target = it->second;
|
|
|
|
} else {
|
|
|
|
// Fetch the referenced schema and resolve its refs
|
|
|
|
auto referenced = _fetch_json(ref);
|
|
|
|
resolve_refs(referenced, base_url);
|
|
|
|
_refs[base_url] = referenced;
|
|
|
|
}
|
|
|
|
if (ref.find('#') == std::string::npos || ref.substr(ref.find('#') + 1).empty()) {
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
} else if (ref.find("#/") == 0) {
|
|
|
|
target = schema;
|
|
|
|
n["$ref"] = url + ref;
|
|
|
|
ref = url + ref;
|
|
|
|
} else {
|
|
|
|
_errors.push_back("Unsupported ref: " + ref);
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
std::string pointer = ref.substr(ref.find('#') + 1);
|
|
|
|
std::vector<std::string> tokens = split(pointer, "/");
|
|
|
|
for (size_t i = 1; i < tokens.size(); ++i) {
|
|
|
|
std::string sel = tokens[i];
|
|
|
|
if (target.is_null() || !target.contains(sel)) {
|
|
|
|
_errors.push_back("Error resolving ref " + ref + ": " + sel + " not in " + target.dump());
|
|
|
|
return;
|
|
|
|
}
|
|
|
|
target = target[sel];
|
|
|
|
}
|
|
|
|
_refs[ref] = target;
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
for (auto & kv : n.items()) {
|
|
|
|
visit_refs(kv.value());
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
};
|
|
|
|
|
|
|
|
visit_refs(schema);
|
|
|
|
}
|
|
|
|
|
|
|
|
std::string _generate_constant_rule(const json & value) {
|
|
|
|
return format_literal(value.dump());
|
|
|
|
}
|
|
|
|
|
|
|
|
std::string visit(const json & schema, const std::string & name) {
|
|
|
|
json schema_type = schema.contains("type") ? schema["type"] : json();
|
|
|
|
std::string schema_format = schema.contains("format") ? schema["format"].get<std::string>() : "";
|
|
|
|
std::string rule_name = is_reserved_name(name) ? name + "-" : name.empty() ? "root" : name;
|
|
|
|
|
|
|
|
if (schema.contains("$ref")) {
|
|
|
|
return _add_rule(rule_name, _resolve_ref(schema["$ref"]));
|
|
|
|
} else if (schema.contains("oneOf") || schema.contains("anyOf")) {
|
|
|
|
std::vector<json> alt_schemas = schema.contains("oneOf") ? schema["oneOf"].get<std::vector<json>>() : schema["anyOf"].get<std::vector<json>>();
|
|
|
|
return _add_rule(rule_name, _generate_union_rule(name, alt_schemas));
|
|
|
|
} else if (schema_type.is_array()) {
|
|
|
|
std::vector<json> schema_types;
|
|
|
|
for (const auto & t : schema_type) {
|
|
|
|
json schema_copy(schema);
|
|
|
|
schema_copy["type"] = t;
|
|
|
|
schema_types.push_back(schema_copy);
|
|
|
|
}
|
|
|
|
return _add_rule(rule_name, _generate_union_rule(name, schema_types));
|
|
|
|
} else if (schema.contains("const")) {
|
|
|
|
return _add_rule(rule_name, _generate_constant_rule(schema["const"]) + " space");
|
|
|
|
} else if (schema.contains("enum")) {
|
|
|
|
std::vector<std::string> enum_values;
|
|
|
|
for (const auto & v : schema["enum"]) {
|
|
|
|
enum_values.push_back(_generate_constant_rule(v));
|
|
|
|
}
|
|
|
|
return _add_rule(rule_name, "(" + join(enum_values.begin(), enum_values.end(), " | ") + ") space");
|
|
|
|
} else if ((schema_type.is_null() || schema_type == "object")
|
|
|
|
&& (schema.contains("properties") ||
|
|
|
|
(schema.contains("additionalProperties") && schema["additionalProperties"] != true))) {
|
|
|
|
std::unordered_set<std::string> required;
|
|
|
|
if (schema.contains("required") && schema["required"].is_array()) {
|
|
|
|
for (const auto & item : schema["required"]) {
|
|
|
|
if (item.is_string()) {
|
|
|
|
required.insert(item.get<std::string>());
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
std::vector<std::pair<std::string, json>> properties;
|
|
|
|
if (schema.contains("properties")) {
|
|
|
|
for (const auto & prop : schema["properties"].items()) {
|
|
|
|
properties.emplace_back(prop.key(), prop.value());
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return _add_rule(rule_name,
|
|
|
|
_build_object_rule(
|
|
|
|
properties, required, name,
|
|
|
|
schema.contains("additionalProperties") ? schema["additionalProperties"] : json()));
|
|
|
|
} else if ((schema_type.is_null() || schema_type == "object") && schema.contains("allOf")) {
|
|
|
|
std::unordered_set<std::string> required;
|
|
|
|
std::vector<std::pair<std::string, json>> properties;
|
|
|
|
std::string hybrid_name = name;
|
|
|
|
std::function<void(const json &, bool)> add_component = [&](const json & comp_schema, bool is_required) {
|
|
|
|
if (comp_schema.contains("$ref")) {
|
|
|
|
add_component(_refs[comp_schema["$ref"]], is_required);
|
|
|
|
} else if (comp_schema.contains("properties")) {
|
|
|
|
for (const auto & prop : comp_schema["properties"].items()) {
|
|
|
|
properties.emplace_back(prop.key(), prop.value());
|
|
|
|
if (is_required) {
|
|
|
|
required.insert(prop.key());
|
|
|
|
}
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
// todo warning
|
|
|
|
}
|
|
|
|
};
|
|
|
|
for (auto & t : schema["allOf"]) {
|
|
|
|
if (t.contains("anyOf")) {
|
|
|
|
for (auto & tt : t["anyOf"]) {
|
|
|
|
add_component(tt, false);
|
|
|
|
}
|
|
|
|
} else {
|
|
|
|
add_component(t, true);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return _add_rule(rule_name, _build_object_rule(properties, required, hybrid_name, json()));
|
|
|
|
} else if ((schema_type.is_null() || schema_type == "array") && (schema.contains("items") || schema.contains("prefixItems"))) {
|
|
|
|
json items = schema.contains("items") ? schema["items"] : schema["prefixItems"];
|
|
|
|
if (items.is_array()) {
|
|
|
|
std::string rule = "\"[\" space ";
|
|
|
|
for (size_t i = 0; i < items.size(); i++) {
|
|
|
|
if (i > 0) {
|
|
|
|
rule += " \",\" space ";
|
|
|
|
}
|
|
|
|
rule += visit(items[i], name + (name.empty() ? "" : "-") + "tuple-" + std::to_string(i));
|
|
|
|
}
|
|
|
|
rule += " \"]\" space";
|
|
|
|
return _add_rule(rule_name, rule);
|
|
|
|
} else {
|
|
|
|
std::string item_rule_name = visit(items, name + (name.empty() ? "" : "-") + "item");
|
|
|
|
int min_items = schema.contains("minItems") ? schema["minItems"].get<int>() : 0;
|
|
|
|
json max_items_json = schema.contains("maxItems") ? schema["maxItems"] : json();
|
|
|
|
int max_items = max_items_json.is_number_integer() ? max_items_json.get<int>() : std::numeric_limits<int>::max();
|
|
|
|
|
|
|
|
return _add_rule(rule_name, "\"[\" space " + build_repetition(item_rule_name, min_items, max_items, "\",\" space") + " \"]\" space");
|
|
|
|
}
|
|
|
|
} else if ((schema_type.is_null() || schema_type == "string") && schema.contains("pattern")) {
|
|
|
|
return _visit_pattern(schema["pattern"], rule_name);
|
|
|
|
} else if ((schema_type.is_null() || schema_type == "string") && std::regex_match(schema_format, std::regex("^uuid[1-5]?$"))) {
|
|
|
|
return _add_primitive(rule_name == "root" ? "root" : schema_format, PRIMITIVE_RULES.at("uuid"));
|
|
|
|
} else if ((schema_type.is_null() || schema_type == "string") && STRING_FORMAT_RULES.find(schema_format + "-string") != STRING_FORMAT_RULES.end()) {
|
|
|
|
auto prim_name = schema_format + "-string";
|
|
|
|
return _add_rule(rule_name, _add_primitive(prim_name, STRING_FORMAT_RULES.at(prim_name)));
|
|
|
|
} else if (schema_type == "string" && (schema.contains("minLength") || schema.contains("maxLength"))) {
|
|
|
|
std::string char_rule = _add_primitive("char", PRIMITIVE_RULES.at("char"));
|
|
|
|
int min_len = schema.contains("minLength") ? schema["minLength"].get<int>() : 0;
|
|
|
|
int max_len = schema.contains("maxLength") ? schema["maxLength"].get<int>() : std::numeric_limits<int>::max();
|
|
|
|
return _add_rule(rule_name, "\"\\\"\" " + build_repetition(char_rule, min_len, max_len) + " \"\\\"\" space");
|
|
|
|
} else if (schema_type == "integer" && (schema.contains("minimum") || schema.contains("exclusiveMinimum") || schema.contains("maximum") || schema.contains("exclusiveMaximum"))) {
|
|
|
|
int min_value = std::numeric_limits<int>::min();
|
|
|
|
int max_value = std::numeric_limits<int>::max();
|
|
|
|
if (schema.contains("minimum")) {
|
|
|
|
min_value = schema["minimum"].get<int>();
|
|
|
|
} else if (schema.contains("exclusiveMinimum")) {
|
|
|
|
min_value = schema["exclusiveMinimum"].get<int>() + 1;
|
|
|
|
}
|
|
|
|
if (schema.contains("maximum")) {
|
|
|
|
max_value = schema["maximum"].get<int>();
|
|
|
|
} else if (schema.contains("exclusiveMaximum")) {
|
|
|
|
max_value = schema["exclusiveMaximum"].get<int>() - 1;
|
|
|
|
}
|
|
|
|
std::stringstream out;
|
|
|
|
out << "(";
|
|
|
|
_build_min_max_int(min_value, max_value, out);
|
|
|
|
out << ") space";
|
|
|
|
return _add_rule(rule_name, out.str());
|
|
|
|
} else if (schema.empty() || schema_type == "object") {
|
|
|
|
return _add_rule(rule_name, _add_primitive("object", PRIMITIVE_RULES.at("object")));
|
|
|
|
} else {
|
|
|
|
if (!schema_type.is_string() || PRIMITIVE_RULES.find(schema_type.get<std::string>()) == PRIMITIVE_RULES.end()) {
|
|
|
|
_errors.push_back("Unrecognized schema: " + schema.dump());
|
|
|
|
return "";
|
|
|
|
}
|
|
|
|
// TODO: support minimum, maximum, exclusiveMinimum, exclusiveMaximum at least for zero
|
|
|
|
return _add_primitive(rule_name == "root" ? "root" : schema_type.get<std::string>(), PRIMITIVE_RULES.at(schema_type.get<std::string>()));
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
void check_errors() {
|
|
|
|
if (!_errors.empty()) {
|
|
|
|
throw std::runtime_error("JSON schema conversion failed:\n" + join(_errors.begin(), _errors.end(), "\n"));
|
|
|
|
}
|
|
|
|
if (!_warnings.empty()) {
|
|
|
|
fprintf(stderr, "WARNING: JSON schema conversion was incomplete: %s\n", join(_warnings.begin(), _warnings.end(), "; ").c_str());
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
std::string format_grammar() {
|
|
|
|
std::stringstream ss;
|
|
|
|
for (const auto & kv : _rules) {
|
|
|
|
ss << kv.first << " ::= " << kv.second << std::endl;
|
|
|
|
}
|
|
|
|
return ss.str();
|
|
|
|
}
|
|
|
|
};
|
|
|
|
|
|
|
|
std::string json_schema_to_grammar(const json & schema) {
|
|
|
|
SchemaConverter converter([](const std::string &) { return json::object(); }, /* dotall= */ false);
|
|
|
|
auto copy = schema;
|
|
|
|
converter.resolve_refs(copy, "input");
|
|
|
|
converter.visit(copy, "");
|
|
|
|
converter.check_errors();
|
|
|
|
return converter.format_grammar();
|
|
|
|
}
|