././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1747156178.1327727 condense_json-0.1.3/0000755000175100001660000000000015010676322013747 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1747156172.0 condense_json-0.1.3/LICENSE0000644000175100001660000002613515010676314014764 0ustar00runnerdocker Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. 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See the License for the specific language governing permissions and limitations under the License. ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1747156178.1327727 condense_json-0.1.3/PKG-INFO0000644000175100001660000001050715010676322015047 0ustar00runnerdockerMetadata-Version: 2.4 Name: condense-json Version: 0.1.3 Summary: Python function for condensing JSON using replacement strings Author: Simon Willison License-Expression: Apache-2.0 Project-URL: Homepage, https://github.com/simonw/condense-json Project-URL: Changelog, https://github.com/simonw/condense-json/releases Project-URL: Issues, https://github.com/simonw/condense-json/issues Project-URL: CI, https://github.com/simonw/condense-json/actions Classifier: Typing :: Typed Requires-Python: >=3.9 Description-Content-Type: text/markdown License-File: LICENSE Provides-Extra: test Requires-Dist: pytest; extra == "test" Requires-Dist: mypy; extra == "test" Dynamic: license-file # condense-json [![PyPI](https://img.shields.io/pypi/v/condense-json.svg)](https://pypi.org/project/condense-json/) [![Tests](https://github.com/simonw/condense-json/actions/workflows/test.yml/badge.svg)](https://github.com/simonw/condense-json/actions/workflows/test.yml) [![Changelog](https://img.shields.io/github/v/release/simonw/condense-json?include_prereleases&label=changelog)](https://github.com/simonw/condense-json/releases) [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/condense-json/blob/main/LICENSE) Python function for condensing JSON using replacement strings ## Installation Install this library using `pip`: ```bash pip install condense-json ``` ## Usage The `condense_json` function searches a JSON-like object for strings that contain specified replacement substrings. It replaces these substrings with a compact representation, making the JSON more concise. The `uncondense_json` function reverses this process. **`condense_json(obj: Dict, replacements: Dict[str, str]) -> Any`** * **`obj`**: The JSON-like object (nested dictionaries, lists, and strings) to condense. * **`replacements`**: A dictionary where keys are replacement IDs (e.g., "1", "2") and values are the strings they represent. The function returns a modified version of the input `obj` where matching substrings are replaced. If a string consists *entirely* of a replacement string, it's replaced with `{"$": replacement_id}`. If a string contains one or more replacement strings, it's replaced with `{"$r": [ ...segments...]}` where segments are the parts of the original string and replacement IDs. **Example:** ```python from condense_json import condense_json input_json = { "foo": { "bar": { "string": "This is a string with foxes in it", "nested": { "more": ["Here is a string", "another with foxes in it too"] }, } } } replacements = {"1": "with foxes in it"} condensed_output = condense_json(input_json, replacements) print(condensed_output) # Expected output: # { # "foo": { # "bar": { # "string": {"$r": ["This is a string ", {"$": "1"}]}, # "nested": { # "more": [ # "Here is a string", # {"$r": ["another ", {"$": "1"}, " too"]} # ] # } # } # } # } ``` **`uncondense_json(obj: Dict, replacements: Dict[str, str]) -> Any`** * **`obj`**: The condensed JSON-like object. * **`replacements`**: The same `replacements` dictionary used for condensing. This function reverses the `condense_json` operation. It finds the `{"$": replacement_id}` and `{"$r": [ ...segments...]}` structures and replaces them with the original strings from the `replacements` dictionary. **Example:** ```python from condense_json import uncondense_json, condense_json # Import both original = { "sentence": "The quick brown fox jumps over the lazy dog", "nested": {"list": ["fast fox", "lazy dog", "just some text"]}, } replacements = {"1": "quick brown fox", "2": "lazy dog"} condensed = condense_json(original, replacements) uncondensed = uncondense_json(condensed, replacements) assert uncondensed == original ``` If the input `obj` to `uncondense_json` doesn't contain any condensed structures, it returns the input unchanged. ## Development To contribute to this library, first checkout the code. Then create a new virtual environment: ```bash cd condense-json python -m venv venv source venv/bin/activate ``` Now install the dependencies and test dependencies: ```bash python -m pip install -e '.[test]' ``` To run the tests: ```bash python -m pytest ``` ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1747156172.0 condense_json-0.1.3/README.md0000644000175100001660000000723315010676314015234 0ustar00runnerdocker# condense-json [![PyPI](https://img.shields.io/pypi/v/condense-json.svg)](https://pypi.org/project/condense-json/) [![Tests](https://github.com/simonw/condense-json/actions/workflows/test.yml/badge.svg)](https://github.com/simonw/condense-json/actions/workflows/test.yml) [![Changelog](https://img.shields.io/github/v/release/simonw/condense-json?include_prereleases&label=changelog)](https://github.com/simonw/condense-json/releases) [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/condense-json/blob/main/LICENSE) Python function for condensing JSON using replacement strings ## Installation Install this library using `pip`: ```bash pip install condense-json ``` ## Usage The `condense_json` function searches a JSON-like object for strings that contain specified replacement substrings. It replaces these substrings with a compact representation, making the JSON more concise. The `uncondense_json` function reverses this process. **`condense_json(obj: Dict, replacements: Dict[str, str]) -> Any`** * **`obj`**: The JSON-like object (nested dictionaries, lists, and strings) to condense. * **`replacements`**: A dictionary where keys are replacement IDs (e.g., "1", "2") and values are the strings they represent. The function returns a modified version of the input `obj` where matching substrings are replaced. If a string consists *entirely* of a replacement string, it's replaced with `{"$": replacement_id}`. If a string contains one or more replacement strings, it's replaced with `{"$r": [ ...segments...]}` where segments are the parts of the original string and replacement IDs. **Example:** ```python from condense_json import condense_json input_json = { "foo": { "bar": { "string": "This is a string with foxes in it", "nested": { "more": ["Here is a string", "another with foxes in it too"] }, } } } replacements = {"1": "with foxes in it"} condensed_output = condense_json(input_json, replacements) print(condensed_output) # Expected output: # { # "foo": { # "bar": { # "string": {"$r": ["This is a string ", {"$": "1"}]}, # "nested": { # "more": [ # "Here is a string", # {"$r": ["another ", {"$": "1"}, " too"]} # ] # } # } # } # } ``` **`uncondense_json(obj: Dict, replacements: Dict[str, str]) -> Any`** * **`obj`**: The condensed JSON-like object. * **`replacements`**: The same `replacements` dictionary used for condensing. This function reverses the `condense_json` operation. It finds the `{"$": replacement_id}` and `{"$r": [ ...segments...]}` structures and replaces them with the original strings from the `replacements` dictionary. **Example:** ```python from condense_json import uncondense_json, condense_json # Import both original = { "sentence": "The quick brown fox jumps over the lazy dog", "nested": {"list": ["fast fox", "lazy dog", "just some text"]}, } replacements = {"1": "quick brown fox", "2": "lazy dog"} condensed = condense_json(original, replacements) uncondensed = uncondense_json(condensed, replacements) assert uncondensed == original ``` If the input `obj` to `uncondense_json` doesn't contain any condensed structures, it returns the input unchanged. ## Development To contribute to this library, first checkout the code. Then create a new virtual environment: ```bash cd condense-json python -m venv venv source venv/bin/activate ``` Now install the dependencies and test dependencies: ```bash python -m pip install -e '.[test]' ``` To run the tests: ```bash python -m pytest ``` ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1747156178.1307726 condense_json-0.1.3/condense_json/0000755000175100001660000000000015010676322016576 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1747156172.0 condense_json-0.1.3/condense_json/__init__.py0000644000175100001660000001075315010676314020716 0ustar00runnerdockerimport re from typing import Any, Dict def condense_json(obj: Dict, replacements: Dict[str, str]) -> Any: """ Recursively search through every string in the JSON-like object `obj`. For any string that contains one or more of the replacement substrings, break the string into segments and replace each found occurrence with a dict of the form {"$": replacement_id}. The overall string becomes: {"$r": [ "text before", {"$": replacement_id}, "text after", ... ]} For example, with: obj = { "foo": { "bar": { "string": "This is a string with foxes in it", "nested": { "more": ["Here is a string", "another with foxes in it too"] } } } } and replacements = {"1": "with foxes in it"} The result will be: { "foo": { "bar": { "string": {"$r": ["This is a string ", {"$": "1"}]}, "nested": { "more": [ "Here is a string", {"$r": ["another ", {"$": "1"}, " too"]} ] } } } } """ # Filter out any blank replacements replacements = {rep_id: substr for rep_id, substr in replacements.items() if substr} if not replacements: return obj substr_to_id = {substr: rep_id for rep_id, substr in replacements.items()} pattern = re.compile("|".join(map(re.escape, replacements.values()))) def process(value: Any) -> Any: if isinstance(value, dict): return {key: process(val) for key, val in value.items()} elif isinstance(value, list): return [process(item) for item in value] elif isinstance(value, str): if not pattern.search(value): return value segments: list[Any] = [] last_index: int = 0 for match in pattern.finditer(value): start, end = match.start(), match.end() if start > last_index: segments.append(value[last_index:start]) matched_text: str = match.group(0) replacement_id: str = substr_to_id[matched_text] segments.append({"$": replacement_id}) last_index = end if last_index < len(value): segments.append(value[last_index:]) # If the entire string was replaced with just {"$": id}, return it directly if len(segments) == 1 and isinstance(segments[0], dict): return segments[0] return {"$r": segments} else: return value return process(obj) def uncondense_json(obj: Dict, replacements: Dict[str, str]) -> Any: """ Recursively reverses the transformation made by condense_json. It looks for objects of the form: - {"$": replacement_id} -> replaced entirely, so substitute with replacements[replacement_id] - {"$r": [ ... segments ... ]} -> rebuild the string by replacing any {"$": rep_id} segments with the actual replacement text. Other types (lists, dicts without "$r", or regular strings) are left intact. """ def process(value: Any) -> Any: if isinstance(value, dict): # Check if this dict represents a condensed string: if "$" in value and len(value) == 1: # Short form: the entire string was replaced. rep_id = value["$"] return replacements[rep_id] elif "$r" in value and len(value) == 1: # Long form: a list of segments. segments = value["$r"] rebuilt = "" for seg in segments: if isinstance(seg, str): rebuilt += seg elif isinstance(seg, dict) and "$" in seg: rep_id = seg["$"] rebuilt += replacements[rep_id] else: # If an unexpected type is encountered, process it recursively. rebuilt += str(process(seg)) return rebuilt else: # Not a condensed string; process the dict normally. return {k: process(v) for k, v in value.items()} elif isinstance(value, list): return [process(item) for item in value] else: return value return process(obj) ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1747156172.0 condense_json-0.1.3/condense_json/py.typed0000644000175100001660000000000015010676314020264 0ustar00runnerdocker././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1747156178.1317725 condense_json-0.1.3/condense_json.egg-info/0000755000175100001660000000000015010676322020270 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1747156178.0 condense_json-0.1.3/condense_json.egg-info/PKG-INFO0000644000175100001660000001050715010676322021370 0ustar00runnerdockerMetadata-Version: 2.4 Name: condense-json Version: 0.1.3 Summary: Python function for condensing JSON using replacement strings Author: Simon Willison License-Expression: Apache-2.0 Project-URL: Homepage, https://github.com/simonw/condense-json Project-URL: Changelog, https://github.com/simonw/condense-json/releases Project-URL: Issues, https://github.com/simonw/condense-json/issues Project-URL: CI, https://github.com/simonw/condense-json/actions Classifier: Typing :: Typed Requires-Python: >=3.9 Description-Content-Type: text/markdown License-File: LICENSE Provides-Extra: test Requires-Dist: pytest; extra == "test" Requires-Dist: mypy; extra == "test" Dynamic: license-file # condense-json [![PyPI](https://img.shields.io/pypi/v/condense-json.svg)](https://pypi.org/project/condense-json/) [![Tests](https://github.com/simonw/condense-json/actions/workflows/test.yml/badge.svg)](https://github.com/simonw/condense-json/actions/workflows/test.yml) [![Changelog](https://img.shields.io/github/v/release/simonw/condense-json?include_prereleases&label=changelog)](https://github.com/simonw/condense-json/releases) [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/condense-json/blob/main/LICENSE) Python function for condensing JSON using replacement strings ## Installation Install this library using `pip`: ```bash pip install condense-json ``` ## Usage The `condense_json` function searches a JSON-like object for strings that contain specified replacement substrings. It replaces these substrings with a compact representation, making the JSON more concise. The `uncondense_json` function reverses this process. **`condense_json(obj: Dict, replacements: Dict[str, str]) -> Any`** * **`obj`**: The JSON-like object (nested dictionaries, lists, and strings) to condense. * **`replacements`**: A dictionary where keys are replacement IDs (e.g., "1", "2") and values are the strings they represent. The function returns a modified version of the input `obj` where matching substrings are replaced. If a string consists *entirely* of a replacement string, it's replaced with `{"$": replacement_id}`. If a string contains one or more replacement strings, it's replaced with `{"$r": [ ...segments...]}` where segments are the parts of the original string and replacement IDs. **Example:** ```python from condense_json import condense_json input_json = { "foo": { "bar": { "string": "This is a string with foxes in it", "nested": { "more": ["Here is a string", "another with foxes in it too"] }, } } } replacements = {"1": "with foxes in it"} condensed_output = condense_json(input_json, replacements) print(condensed_output) # Expected output: # { # "foo": { # "bar": { # "string": {"$r": ["This is a string ", {"$": "1"}]}, # "nested": { # "more": [ # "Here is a string", # {"$r": ["another ", {"$": "1"}, " too"]} # ] # } # } # } # } ``` **`uncondense_json(obj: Dict, replacements: Dict[str, str]) -> Any`** * **`obj`**: The condensed JSON-like object. * **`replacements`**: The same `replacements` dictionary used for condensing. This function reverses the `condense_json` operation. It finds the `{"$": replacement_id}` and `{"$r": [ ...segments...]}` structures and replaces them with the original strings from the `replacements` dictionary. **Example:** ```python from condense_json import uncondense_json, condense_json # Import both original = { "sentence": "The quick brown fox jumps over the lazy dog", "nested": {"list": ["fast fox", "lazy dog", "just some text"]}, } replacements = {"1": "quick brown fox", "2": "lazy dog"} condensed = condense_json(original, replacements) uncondensed = uncondense_json(condensed, replacements) assert uncondensed == original ``` If the input `obj` to `uncondense_json` doesn't contain any condensed structures, it returns the input unchanged. ## Development To contribute to this library, first checkout the code. Then create a new virtual environment: ```bash cd condense-json python -m venv venv source venv/bin/activate ``` Now install the dependencies and test dependencies: ```bash python -m pip install -e '.[test]' ``` To run the tests: ```bash python -m pytest ``` ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1747156178.0 condense_json-0.1.3/condense_json.egg-info/SOURCES.txt0000644000175100001660000000050315010676322022152 0ustar00runnerdockerLICENSE README.md pyproject.toml condense_json/__init__.py condense_json/py.typed condense_json.egg-info/PKG-INFO condense_json.egg-info/SOURCES.txt condense_json.egg-info/dependency_links.txt condense_json.egg-info/requires.txt condense_json.egg-info/top_level.txt tests/test_condense_json.py tests/test_uncondense_json.py././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1747156178.0 condense_json-0.1.3/condense_json.egg-info/dependency_links.txt0000644000175100001660000000000115010676322024336 0ustar00runnerdocker ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1747156178.0 condense_json-0.1.3/condense_json.egg-info/requires.txt0000644000175100001660000000002415010676322022664 0ustar00runnerdocker [test] pytest mypy ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1747156178.0 condense_json-0.1.3/condense_json.egg-info/top_level.txt0000644000175100001660000000001615010676322023017 0ustar00runnerdockercondense_json ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1747156172.0 condense_json-0.1.3/pyproject.toml0000644000175100001660000000147515010676314016673 0ustar00runnerdocker[project] name = "condense-json" version = "0.1.3" description = "Python function for condensing JSON using replacement strings" readme = "README.md" requires-python = ">=3.9" authors = [{name = "Simon Willison"}] license = "Apache-2.0" classifiers = [ "Typing :: Typed" ] dependencies = [] [build-system] requires = ["setuptools"] build-backend = "setuptools.build_meta" [project.urls] Homepage = "https://github.com/simonw/condense-json" Changelog = "https://github.com/simonw/condense-json/releases" Issues = "https://github.com/simonw/condense-json/issues" CI = "https://github.com/simonw/condense-json/actions" [project.optional-dependencies] test = ["pytest", "mypy"] [tool.mypy] python_version = "3.9" warn_return_any = true warn_unused_configs = true disallow_untyped_defs = true disallow_incomplete_defs = true ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1747156178.1327727 condense_json-0.1.3/setup.cfg0000644000175100001660000000004615010676322015570 0ustar00runnerdocker[egg_info] tag_build = tag_date = 0 ././@PaxHeader0000000000000000000000000000003400000000000010212 xustar0028 mtime=1747156178.1317725 condense_json-0.1.3/tests/0000755000175100001660000000000015010676322015111 5ustar00runnerdocker././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1747156172.0 condense_json-0.1.3/tests/test_condense_json.py0000644000175100001660000000624415010676314021360 0ustar00runnerdockerfrom condense_json import condense_json from typing import Dict, Any, List def test_condense_json() -> None: input_json: Dict[str, Any] = { "foo": { "bar": { "string": "This is a string with foxes in it", "nested": { "more": ["Here is a string", "another with foxes in it too"] }, } } } replacements: Dict[str, str] = {"1": "with foxes in it"} expected_output: Dict[str, Any] = { "foo": { "bar": { "string": {"$r": ["This is a string ", {"$": "1"}]}, "nested": { "more": [ "Here is a string", {"$r": ["another ", {"$": "1"}, " too"]}, ] }, } } } assert condense_json(input_json, replacements) == expected_output def test_no_replacements() -> None: input_json: Dict[str, str] = {"text": "This is a normal string"} replacements: Dict[str, str] = {"1": "not in the text"} expected_output: Dict[str, str] = {"text": "This is a normal string"} assert condense_json(input_json, replacements) == expected_output def test_replacement_not_used() -> None: input = {"messages": [{"role": "user", "content": "What is 1231 * 2331?"}]} replacements = {"r:01jv577ycee7re8wqdebbvygys": ""} output = condense_json(input, replacements) assert output == input def test_empty_json() -> None: input_json: Dict[str, Any] = {} replacements: Dict[str, str] = {"1": "anything"} expected_output: Dict[str, Any] = {} assert condense_json(input_json, replacements) == expected_output def test_multiple_replacements() -> None: input_json: Dict[str, Any] = { "sentence": "The quick brown fox jumps over the lazy dog", "nested": {"list": ["fast fox", "lazy dog", "just some text"]}, } replacements: Dict[str, str] = {"1": "quick brown fox", "2": "lazy dog"} expected_output: Dict[str, Any] = { "sentence": {"$r": ["The ", {"$": "1"}, " jumps over the ", {"$": "2"}]}, "nested": {"list": ["fast fox", {"$": "2"}, "just some text"]}, } assert condense_json(input_json, replacements) == expected_output def test_nested_replacements() -> None: input_json: Dict[str, Any] = { "outer": {"inner": {"deep": "something deep inside with foxes in it"}} } replacements: Dict[str, str] = {"1": "with foxes in it"} expected_output: Dict[str, Any] = { "outer": {"inner": {"deep": {"$r": ["something deep inside ", {"$": "1"}]}}} } assert condense_json(input_json, replacements) == expected_output def test_blank_or_none_replacements() -> None: input_json: Dict[str, Any] = { "outer": {"inner": {"deep": "something deep inside with foxes in it"}} } replacements: Dict[str, Any] = {"1": "deep", "2": None, "3": ""} expected_output: Dict[str, Any] = { "outer": { "inner": { "deep": {"$r": ["something ", {"$": "1"}, " inside with foxes in it"]} } } } assert condense_json(input_json, replacements) == expected_output ././@PaxHeader0000000000000000000000000000002600000000000010213 xustar0022 mtime=1747156172.0 condense_json-0.1.3/tests/test_uncondense_json.py0000644000175100001660000000372615010676314021725 0ustar00runnerdockerfrom condense_json import condense_json, uncondense_json from typing import Dict, Any, List def test_uncondense_basic() -> None: original: Dict[str, Any] = { "foo": { "bar": { "string": "This is a string with foxes in it", "nested": { "more": ["Here is a string", "another with foxes in it too"] }, } } } replacements: Dict[str, str] = {"1": "with foxes in it"} condensed = condense_json(original, replacements) # Now uncondense should recover the original uncondensed = uncondense_json(condensed, replacements) assert uncondensed == original def test_uncondense_non_condensed() -> None: # If the object is not condensed (no markers), it should remain unchanged. original: Dict[str, str] = {"text": "This is a normal string without any changes."} replacements: Dict[str, str] = {"1": "not in the text"} uncondensed = uncondense_json(original, replacements) assert uncondensed == original def test_uncondense_multiple_replacements() -> None: original: Dict[str, Any] = { "sentence": "The quick brown fox jumps over the lazy dog", "nested": {"list": ["fast fox", "lazy dog", "just some text"]}, } replacements: Dict[str, str] = {"1": "quick brown fox", "2": "lazy dog"} condensed = condense_json(original, replacements) uncondensed = uncondense_json(condensed, replacements) assert uncondensed == original def test_uncondense_mixed() -> None: # Mixed object where only some strings were condensed. original: Dict[str, Any] = { "a": "Hello world!", "b": "Greetings from the quick brown fox", "c": {"d": ["No change here", "Another quick brown fox example"]}, } replacements: Dict[str, str] = {"1": "quick brown fox"} condensed = condense_json(original, replacements) uncondensed = uncondense_json(condensed, replacements) assert uncondensed == original