diff --git a/adala/utils/parse.py b/adala/utils/parse.py index 48da3ab5..8b3ce750 100644 --- a/adala/utils/parse.py +++ b/adala/utils/parse.py @@ -25,6 +25,65 @@ def format_field(self, value, format_spec): if value.startswith("{") and value.endswith("}"): return value[:-1] + ":" + format_spec + "}" + def _vformat(self, format_string, args, kwargs, used_args, recursion_depth, + auto_arg_index=0): + # copied verbatim from parent class except for the # HACK + if recursion_depth < 0: + raise ValueError('Max string recursion exceeded') + result = [] + for literal_text, field_name, format_spec, conversion in \ + self.parse(format_string): + + # output the literal text + if literal_text: + result.append(literal_text) + + # if there's a field, output it + if field_name is not None: + # this is some markup, find the object and do + # the formatting + + # handle arg indexing when empty field_names are given. + if field_name == '': + if auto_arg_index is False: + raise ValueError('cannot switch from manual field ' + 'specification to automatic field ' + 'numbering') + field_name = str(auto_arg_index) + auto_arg_index += 1 + elif field_name.isdigit(): + if auto_arg_index: + raise ValueError('cannot switch from manual field ' + 'specification to automatic field ' + 'numbering') + # disable auto arg incrementing, if it gets + # used later on, then an exception will be raised + auto_arg_index = False + + # given the field_name, find the object it references + # and the argument it came from + obj, arg_used = self.get_field(field_name, args, kwargs) + used_args.add(arg_used) + + # do any conversion on the resulting object + obj = self.convert_field(obj, conversion) + + # expand the format spec, if needed + format_spec, auto_arg_index = self._vformat( + format_spec, args, kwargs, + used_args, recursion_depth-1, + auto_arg_index=auto_arg_index) + + # format the object and append to the result + # HACK: if the format_spec is invalid, assume this field_name was not meant to be a variable, and don't substitute anything + formatted_field = self.format_field(obj, format_spec) + if formatted_field is None: + result.append('{' + ':'.join([field_name, format_spec]) + '}') + else: + result.append(formatted_field) + + return ''.join(result), auto_arg_index + PartialStringFormat = PartialStringFormatter() diff --git a/tests/cassettes/test_llm/test_llm_sync.yaml b/tests/cassettes/test_llm/test_llm_sync.yaml index 1962cfa5..79f71bb6 100644 --- a/tests/cassettes/test_llm/test_llm_sync.yaml +++ b/tests/cassettes/test_llm/test_llm_sync.yaml @@ -38,19 +38,19 @@ interactions: response: body: string: !!binary | - H4sIAAAAAAAAA2xRwW7UMBS85ysevnBJUJKulHQvVRFSqVQuLKIghCKv43Xc2n7GfqGsqpX4DX6P - L0HOpruL2oslz3jGM+89ZgBM92wJTAychPWmuLz5+enLStHHSl3hsP284urD6mv59uzy9t0PlicF - ru+koCfVG4HWG0ka3Z4WQXKSybVq6vOmPa/aZiIs9tIkmfJULLCw2umiLutFUTZF1c7qAbWQkS3h - WwYA8DidKafr5S+2hDJ/QqyMkSvJlodHACygSQjjMepI3BHLj6RAR9JN0a9fW+hROwUP0pgcaODu - HrY4voL3+AB8jSOl6wXcDpz+/v4TAV0CAljteiDs+fbi1DzIzRh5KuhGY2Z8d0hrUPmA6zjzB3yj - nY5DFySP6FKySOjZxO4ygO/TVMb/ijIf0HrqCO+lS4bVYm/Hjrs4IduZJCRujvhZnb/g1vWSuDbx - ZKpMcDHI/qgss5Nqz/98yWJfTzv1zCWbnVjcRpK222inZPBB7/e08d2irUVd82YtWLbL/gEAAP// - AwCZ/QJBtQIAAA== + H4sIAAAAAAAAA2xRwWrcMBS8+ytedcnFLrbX4LCXUAqlySmXkNBSjFaSbTWSnpCeSUxY6G/09/ol + RV5nd0NyEWhGM5p57yUDYFqyLTAxchLWm+LLLTU3Y9X6+WG69fM83D3fieFb9ePrjfYsTwrc/VaC + XlWfBVpvFGl0B1oExUkl16rdlO1mUzftQliUyiTZ4KlosLDa6aIu66Yo26K6XNUjaqEi28LPDADg + ZTlTTifVM9tCmb8iVsXIB8W2x0cALKBJCOMx6kjcEctPpEBHyi3Rry8sSNRugCdlTA40cvcIM06f + 4Ds+Ad/hROl6Bfcjp39//kZAl4AAVjsJhJLPV+fmQfVT5Kmgm4xZ8f0xrcHBB9zFlT/ivXY6jl1Q + PKJLySKhZwu7zwB+LVOZ3hRlPqD11BE+KpcMq+Zgx067OCMvV5KQuDnhmzr/wK2Tirg28WyqTHAx + KnlSltlZtfd/fmRxqKfd8M4lW51YnCMp2/XaDSr4oA976n1X7ngpq7rpK5bts/8AAAD//wMA63ls + OrUCAAA= headers: CF-Cache-Status: - DYNAMIC CF-RAY: - - 8d7b84f06dcf22e4-ORD + - 8dd58d46fed642d1-EWR Connection: - keep-alive Content-Encoding: @@ -58,14 +58,14 @@ interactions: Content-Type: - application/json Date: - - Thu, 24 Oct 2024 16:59:47 GMT + - Mon, 04 Nov 2024 15:14:07 GMT Server: - cloudflare Set-Cookie: - - __cf_bm=30VOoxxFFnFIfoszGGPiK.d0YRhibLz9HMGU6Ov8uc4-1729789187-1.0.1.1-q3_tlPXfGO1erGWkfmCYDDw3XraJeWyheNxzdM7_vacleVv.0RlXh7dRiAWb2nDk5x0bpul5cT3GeJJgiIxm_w; 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charset=utf-8 Date: - - Thu, 24 Oct 2024 16:59:48 GMT + - Mon, 04 Nov 2024 15:14:08 GMT Server: - cloudflare Set-Cookie: - - __cf_bm=mWIPSP1jcAelqfb6KeGySlcGW6Zg.GqmDVPrbybrWl8-1729789188-1.0.1.1-NWztZ1HWnHc8cnYSOjCe74TC2Ma8QOikHAa0oWNgCn9XLiXBvQDySrQuO8b7g1twH0SH4o6JfwRgFNm8ouy3mQ; - path=/; expires=Thu, 24-Oct-24 17:29:48 GMT; domain=.api.openai.com; HttpOnly; + - __cf_bm=8BjE6koy0LToKFcs7pIgucndkUARFhNCjRzEsiXa3ck-1730733248-1.0.1.1-9DWjfxx66ZyFHpi_hBBjuY78ucZbEu2iSLQI5glryAJruhEaySb8n_lZ59XB8_Q4BpIoEsf2hjt7WuQUp9.Djg; + path=/; expires=Mon, 04-Nov-24 15:44:08 GMT; domain=.api.openai.com; HttpOnly; Secure; SameSite=None - - _cfuvid=XVXbpEDTsosPnlpUpurpjN1wiejqi.IZXZCK0FJxpv8-1729789188820-0.0.1.1-604800000; + - _cfuvid=RxFASrWZo4AWBPRerc.fWI0YYOSk0r6.se0J1HjhSoc-1730733248645-0.0.1.1-604800000; path=/; domain=.api.openai.com; HttpOnly; Secure; SameSite=None X-Content-Type-Options: - nosniff @@ -382,7 +382,7 @@ interactions: vary: - Origin x-request-id: - - req_2e39a553f5c2c365b6da3d8f2425ed2f + - req_62fdbb8af445ec1efec814a8c0e216c9 status: code: 401 message: Unauthorized diff --git a/tests/test_llm.py b/tests/test_llm.py index 0991fafd..1c5dc850 100644 --- a/tests/test_llm.py +++ b/tests/test_llm.py @@ -27,7 +27,7 @@ class Output(BaseModel): result = runtime.record_to_record( record={"input_name": "Carla", "input_age": 25}, - input_template="My name is {input_name} and I am {input_age:02d} years old with {brackets:.2f} and {brackets2:invalid_format_spec}.", + input_template="My name is {input_name} and I am {input_age:02d} years old with {brackets:.2f} and {brackets2:invalid_format_spec} and {input_name:invalid_format_spec}.", instructions_template="", response_model=Output, ) diff --git a/tests/test_parse.py b/tests/test_parse.py new file mode 100644 index 00000000..77145086 --- /dev/null +++ b/tests/test_parse.py @@ -0,0 +1,108 @@ +import pytest +from adala.utils.parse import partial_str_format + + +def test_partial_string_format(): + # Test basic string formatting with all variables present + result = partial_str_format( + "My name is {input_name} and I am {input_age} years old.", + input_name="Carla", + input_age=25, + ) + assert result == "My name is Carla and I am 25 years old." + + # Test with missing variables - should keep original placeholder + result = partial_str_format( + "My name is {input_name} and I am {input_age} years old with {brackets} and {brackets2}.", + input_name="Carla", + input_age=25, + ) + assert ( + result + == "My name is Carla and I am 25 years old with {brackets} and {brackets2}." + ) + + # Test with format specifiers + result = partial_str_format( + "My name is {input_name} and I am {input_age:02d} years old with {brackets:.2f} and {brackets2:invalid_format_spec} and {input_name:invalid_format_spec}.", + input_name="Carla", + input_age=25, + ) + assert ( + result + == "My name is Carla and I am 25 years old with {brackets:.2f} and {brackets2:invalid_format_spec} and {input_name:invalid_format_spec}." + ) + + # Test with empty string + result = partial_str_format("") + assert result == "" + + # Test with no placeholders + result = partial_str_format("Hello world") + assert result == "Hello world" + + # Test with only missing placeholders + result = partial_str_format("{missing1} and {missing2}") + assert result == "{missing1} and {missing2}" + + # Test larger prompt + prompt = """ +Given the following product review: + +**Title:** {Title} + +**Review Text:** {Text} + +Your task is to perform the following actions: +1. **Highlight Entities:** Identify and label entities in the review text. The entities can be of the following types: Animal, Emotion, Product, and Location. Provide the start and end indices of each entity in the text along with the corresponding label. +2. **Choose Review Category:** Based on the content of the review, select one or more categories from the following options: baby products, beauty, grocery gourmet food, health personal care, pet supplies, toys games. +3. **Classify Review Sentiment:** Determine the sentiment of the review as either positive or negative. +4. **Provide Reasoning:** Explain your reasoning for the sentiment classification in a concise manner. + +Please format your output in JSON with the following keys: +- **label:** An array of objects, each containing the start and end indices of the identified entities, their labels, and the corresponding text. +- **category:** An array of selected categories for the review. +- **satisfaction:** The sentiment classification of the review (positive or negative). +- **reasoning:** A brief explanation of the reasoning behind the sentiment classification. + +### Examples: +1. Input: {Title: "PetSafe StayWell Pet door", Text: "We have only installed about 2 weeks but ..."} + Output: {"label": [{"start": 8, "end": 12, "labels": ["Emotion"], "text": "only"}], "category": ["pet supplies"], "satisfaction": "negative", "reasoning": "The review expresses dissatisfaction with the product after a short usage period."} + +2. Input: {Title: "Best Dog Food Ever", Text: "My dog loves this food! It's amazing!"} + Output: {"label": [{"start": 0, "end": 3, "labels": ["Product"], "text": "Dog Food"}], "category": ["pet supplies"], "satisfaction": "positive", "reasoning": "The review expresses a positive sentiment towards the product, indicating that the dog enjoys it."} +""" + data = { + "Text": "We have only installed about 2 weeks but ...", + "Title": "PetSafe StayWell Pet door", + } + result = partial_str_format(prompt, **data) + assert ( + result + == """ +Given the following product review: + +**Title:** PetSafe StayWell Pet door + +**Review Text:** We have only installed about 2 weeks but ... + +Your task is to perform the following actions: +1. **Highlight Entities:** Identify and label entities in the review text. The entities can be of the following types: Animal, Emotion, Product, and Location. Provide the start and end indices of each entity in the text along with the corresponding label. +2. **Choose Review Category:** Based on the content of the review, select one or more categories from the following options: baby products, beauty, grocery gourmet food, health personal care, pet supplies, toys games. +3. **Classify Review Sentiment:** Determine the sentiment of the review as either positive or negative. +4. **Provide Reasoning:** Explain your reasoning for the sentiment classification in a concise manner. + +Please format your output in JSON with the following keys: +- **label:** An array of objects, each containing the start and end indices of the identified entities, their labels, and the corresponding text. +- **category:** An array of selected categories for the review. +- **satisfaction:** The sentiment classification of the review (positive or negative). +- **reasoning:** A brief explanation of the reasoning behind the sentiment classification. + +### Examples: +1. Input: {Title: "PetSafe StayWell Pet door", Text: "We have only installed about 2 weeks but ..."} + Output: {"label": [{"start": 8, "end": 12, "labels": ["Emotion"], "text": "only"}], "category": ["pet supplies"], "satisfaction": "negative", "reasoning": "The review expresses dissatisfaction with the product after a short usage period."} + +2. Input: {Title: "Best Dog Food Ever", Text: "My dog loves this food! It's amazing!"} + Output: {"label": [{"start": 0, "end": 3, "labels": ["Product"], "text": "Dog Food"}], "category": ["pet supplies"], "satisfaction": "positive", "reasoning": "The review expresses a positive sentiment towards the product, indicating that the dog enjoys it."} +""" + )