Commit Graph

12 Commits

Author SHA1 Message Date
Ines Montani
cfffdba7b1 Implement new API for {Phrase}Matcher.add (backwards-compatible) (#4522)
* Implement new API for {Phrase}Matcher.add (backwards-compatible)

* Update docs

* Also update DependencyMatcher.add

* Update internals

* Rewrite tests to use new API

* Add basic check for common mistake

Raise error with suggestion if user likely passed in a pattern instead of a list of patterns

* Fix typo [ci skip]
2019-10-25 22:21:08 +02:00
adrianeboyd
98a961a60e Fix PhraseMatcher.remove for overlapping patterns (#4437) 2019-10-14 12:19:51 +02:00
adrianeboyd
14841d0aa6 Fix PhraseMatcher callback and add tests (#4399)
* Fix callback lookup in PhraseMatcher (string key rather than hash key)
* Add callback tests for Matcher and PhraseMatcher
2019-10-08 12:07:02 +02:00
Ines Montani
3d8fd4b461 Revert #4334 2019-09-29 17:32:12 +02:00
Ines Montani
c9cd516d96 Move tests out of package (#4334)
* Move tests out of package

* Fix typo
2019-09-28 18:05:00 +02:00
adrianeboyd
c23edf302b Replace PhraseMatcher with trie-based search (#4309)
* Replace PhraseMatcher with Aho-Corasick

Replace PhraseMatcher with the Aho-Corasick algorithm over numpy arrays
of the hash values for the relevant attribute. The implementation is
based on FlashText.

The speed should be similar to the previous PhraseMatcher. It is now
possible to easily remove match IDs and matches don't go missing with
large keyword lists / vocabularies.

Fixes #4308.

* Restore support for pickling

* Fix internal keyword add/remove for numpy arrays

* Add missing loop for match ID set in search loop

* Remove cruft in matching loop for partial matches

There was a bit of unnecessary code left over from FlashText in the
matching loop to handle partial token matches, which we don't have with
PhraseMatcher.

* Replace dict trie with MapStruct trie

* Fix how match ID hash is stored/added

* Update fix for match ID vocab

* Switch from map_get_unless_missing to map_get

* Switch from numpy array to Token.get_struct_attr

Access token attributes directly in Doc instead of making a copy of the
relevant values in a numpy array.

Add unsatisfactory warning for hash collision with reserved terminal
hash key. (Ideally it would change the reserved terminal hash and redo
the whole trie, but for now, I'm hoping there won't be collisions.)

* Restructure imports to export find_matches

* Implement full remove()

Remove unnecessary trie paths and free unused maps.

Parallel to Matcher, raise KeyError when attempting to remove a match ID
that has not been added.

* Store docs internally only as attr lists

* Reduces size for pickle

* Remove duplicate keywords store

Now that docs are stored as lists of attr hashes, there's no need to
have the duplicate _keywords store.
2019-09-27 16:22:34 +02:00
adrianeboyd
8fe7bdd0fa Improve token pattern checking without validation (#4105)
* Fix typo in rule-based matching docs

* Improve token pattern checking without validation

Add more detailed token pattern checks without full JSON pattern validation and
provide more detailed error messages.

Addresses #4070 (also related: #4063, #4100).

* Check whether top-level attributes in patterns and attr for PhraseMatcher are
  in token pattern schema

* Check whether attribute value types are supported in general (as opposed to
  per attribute with full validation)

* Report various internal error types (OverflowError, AttributeError, KeyError)
  as ValueError with standard error messages

* Check for tagger/parser in PhraseMatcher pipeline for attributes TAG, POS,
  LEMMA, and DEP

* Add error messages with relevant details on how to use validate=True or nlp()
  instead of nlp.make_doc()

* Support attr=TEXT for PhraseMatcher

* Add NORM to schema

* Expand tests for pattern validation, Matcher, PhraseMatcher, and EntityRuler

* Remove unnecessary .keys()

* Rephrase error messages

* Add another type check to Matcher

Add another type check to Matcher for more understandable error messages
in some rare cases.

* Support phrase_matcher_attr=TEXT for EntityRuler

* Don't use spacy.errors in examples and bin scripts

* Fix error code

* Auto-format

Also try get Azure pipelines to finally start a build :(

* Update errors.py


Co-authored-by: Ines Montani <ines@ines.io>
Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2019-08-21 14:00:37 +02:00
Ines Montani
ad2a514cdf Show warning if phrase pattern Doc was overprocessed (#3255)
In most cases, the PhraseMatcher will match on the verbatim token text or as of v2.1, sometimes the lowercase text. This means that we only need a tokenized Doc, without any other attributes.

If phrase patterns are created by processing large terminology lists with the full `nlp` object, this easily can make things a lot slower, because all components will be applied, even if we don't actually need the attributes they set (like part-of-speech tags, dependency labels).

The warning message also includes a suggestion to use nlp.make_doc or nlp.tokenizer.pipe for even faster processing. For now, the validation has to be enabled explicitly by setting validate=True.
2019-02-13 01:45:31 +11:00
Ines Montani
37c7c85a86 💫 New JSON helpers, training data internals & CLI rewrite (#2932)
* Support nowrap setting in util.prints

* Tidy up and fix whitespace

* Simplify script and use read_jsonl helper

* Add JSON schemas (see #2928)

* Deprecate Doc.print_tree

Will be replaced with Doc.to_json, which will produce a unified format

* Add Doc.to_json() method (see #2928)

Converts Doc objects to JSON using the same unified format as the training data. Method also supports serializing selected custom attributes in the doc._. space.

* Remove outdated test

* Add write_json and write_jsonl helpers

* WIP: Update spacy train

* Tidy up spacy train

* WIP: Use wasabi for formatting

* Add GoldParse helpers for JSON format

* WIP: add debug-data command

* Fix typo

* Add missing import

* Update wasabi pin

* Add missing import

* 💫 Refactor CLI (#2943)

To be merged into #2932.

## Description
- [x] refactor CLI To use [`wasabi`](https://github.com/ines/wasabi)
- [x] use [`black`](https://github.com/ambv/black) for auto-formatting
- [x] add `flake8` config
- [x] move all messy UD-related scripts to `cli.ud`
- [x] make converters function that take the opened file and return the converted data (instead of having them handle the IO)

### Types of change
enhancement

## Checklist
<!--- Before you submit the PR, go over this checklist and make sure you can
tick off all the boxes. [] -> [x] -->
- [x] I have submitted the spaCy Contributor Agreement.
- [x] I ran the tests, and all new and existing tests passed.
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.

* Update wasabi pin

* Delete old test

* Update errors

* Fix typo

* Tidy up and format remaining code

* Fix formatting

* Improve formatting of messages

* Auto-format remaining code

* Add tok2vec stuff to spacy.train

* Fix typo

* Update wasabi pin

* Fix path checks for when train() is called as function

* Reformat and tidy up pretrain script

* Update argument annotations

* Raise error if model language doesn't match lang

* Document new train command
2018-11-30 20:16:14 +01:00
Ines Montani
b6e991440c 💫 Tidy up and auto-format tests (#2967)
* Auto-format tests with black

* Add flake8 config

* Tidy up and remove unused imports

* Fix redefinitions of test functions

* Replace orths_and_spaces with words and spaces

* Fix compatibility with pytest 4.0

* xfail test for now

Test was previously overwritten by following test due to naming conflict, so failure wasn't reported

* Unfail passing test

* Only use fixture via arguments

Fixes pytest 4.0 compatibility
2018-11-27 01:09:36 +01:00
Ines Montani
e89708c3eb 💫 Allow matching non-ORTH attributes in PhraseMatcher (#2925)
* Allow matching non-orth attributes in PhraseMatcher (see #1971)

Usage: PhraseMatcher(nlp.vocab, attr='POS')

* Allow attr argument to be int

* Fix formatting

* Fix typo
2018-11-15 03:00:58 +01:00
Ines Montani
75f3234404
💫 Refactor test suite (#2568)
## Description

Related issues: #2379 (should be fixed by separating model tests)

* **total execution time down from > 300 seconds to under 60 seconds** 🎉
* removed all model-specific tests that could only really be run manually anyway – those will now live in a separate test suite in the [`spacy-models`](https://github.com/explosion/spacy-models) repository and are already integrated into our new model training infrastructure
* changed all relative imports to absolute imports to prepare for moving the test suite from `/spacy/tests` to `/tests` (it'll now always test against the installed version)
* merged old regression tests into collections, e.g. `test_issue1001-1500.py` (about 90% of the regression tests are very short anyways)
* tidied up and rewrote existing tests wherever possible

### Todo

- [ ] move tests to `/tests` and adjust CI commands accordingly
- [x] move model test suite from internal repo to `spacy-models`
- [x] ~~investigate why `pipeline/test_textcat.py` is flakey~~
- [x] review old regression tests (leftover files) and see if they can be merged, simplified or deleted
- [ ] update documentation on how to run tests


### Types of change
enhancement, tests

## Checklist
<!--- Before you submit the PR, go over this checklist and make sure you can
tick off all the boxes. [] -> [x] -->
- [x] I have submitted the spaCy Contributor Agreement.
- [x] I ran the tests, and all new and existing tests passed.
- [ ] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-07-24 23:38:44 +02:00