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{file = "virtualenv-20.24.3-py3-none-any.whl", hash = "sha256:95a6e9398b4967fbcb5fef2acec5efaf9aa4972049d9ae41f95e0972a683fd02"}, - {file = "virtualenv-20.24.3.tar.gz", hash = "sha256:e5c3b4ce817b0b328af041506a2a299418c98747c4b1e68cb7527e74ced23efc"}, + {file = "virtualenv-20.24.5-py3-none-any.whl", hash = "sha256:b80039f280f4919c77b30f1c23294ae357c4c8701042086e3fc005963e4e537b"}, + {file = "virtualenv-20.24.5.tar.gz", hash = "sha256:e8361967f6da6fbdf1426483bfe9fca8287c242ac0bc30429905721cefbff752"}, ] [package.dependencies] @@ -3148,9 +3710,23 @@ filelock = ">=3.12.2,<4" platformdirs = ">=3.9.1,<4" [package.extras] -docs = ["furo (>=2023.5.20)", "proselint (>=0.13)", "sphinx (>=7.0.1)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] +docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"] test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"] +[[package]] +name = "wasabi" +version = "1.1.2" +description = "A lightweight console printing and formatting toolkit" +optional = false +python-versions = ">=3.6" +files = [ + {file = "wasabi-1.1.2-py3-none-any.whl", hash = "sha256:0a3f933c4bf0ed3f93071132c1b87549733256d6c8de6473c5f7ed2e171b5cf9"}, + {file = "wasabi-1.1.2.tar.gz", hash = "sha256:1aaef3aceaa32edb9c91330d29d3936c0c39fdb965743549c173cb54b16c30b5"}, +] + +[package.dependencies] +colorama = {version = ">=0.4.6", markers = "sys_platform == \"win32\" and python_version >= \"3.7\""} + [[package]] name = "watchdog" version = "3.0.0" @@ -3190,26 +3766,15 @@ files = [ [package.extras] watchmedo = ["PyYAML (>=3.10)"] -[[package]] -name = "webencodings" -version = "0.5.1" -description = "Character encoding aliases for legacy web content" -optional = false -python-versions = "*" -files = [ - {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"}, - {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"}, -] - [[package]] name = "wikipedia-api" -version = "0.5.8" +version = "0.6.0" description = "Python Wrapper for Wikipedia" optional = false python-versions = "*" files = [ - {file = "Wikipedia-API-0.5.8.tar.gz", hash = "sha256:065c6541e7480b95b14b9607c243fbce6aefe084e6dc58e41ffb313aec472fcd"}, - {file = "Wikipedia_API-0.5.8-py3-none-any.whl", hash = "sha256:f124cb59fef0c635fa3818d33025f4cd3daa4a119314728653959c0ede328813"}, + {file = "Wikipedia-API-0.6.0.tar.gz", hash = "sha256:61e94921cca9ec68e92aa5f258261d6a88b7baa960f9acfcb0c9c2c525dcb3ff"}, + {file = "Wikipedia_API-0.6.0-py3-none-any.whl", hash = "sha256:6dfd6b3b680e342a3843fe954049c5784c1a67fadc0060f9d1696d1d0e41ecfb"}, ] [package.dependencies] @@ -3488,4 +4053,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = ">=3.8,<3.9.7" -content-hash = "ce86930d493986bf4ab45260a34d7d65ee40b11d77161eef2ad39928a8e0e4a9" +content-hash = "abe66a437c7c6eff49d885994869d2d2b6828c341a09e1561008cfa129976ae4" diff --git a/pyproject.toml b/pyproject.toml index 9bdcaf1..d21871d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,6 @@ readme = "README.md" [tool.poetry.dependencies] python = ">=3.8,<3.9.7" -wikipedia-api = "^0.5.8" geopy = "^2.3.0" poetry-dotenv-plugin = "^0.1.0" openai = "^0.27.2" @@ -19,7 +18,11 @@ python-tsp = "^0.3.1" streamlit = "^1.22.0" folium = "^0.14.0" streamlit-folium = "^0.11.1" +spacy = "^3.5.3" +wikipedia-api = "^0.6.0" +[tool.poetry.dependencies.en_core_web_md] +url = "https://github.com/explosion/spacy-models/releases/download/en_core_web_md-3.6.0/en_core_web_md-3.6.0.tar.gz" [tool.poetry.group.dev.dependencies] black = "^23.1.0" diff --git a/pytest.ini b/pytest.ini index 8cde599..cda27a5 100644 --- a/pytest.ini +++ b/pytest.ini @@ -18,8 +18,8 @@ exclude_lines = # Don't complain if tests don't hit defensive assertion code: raise NotImplementedError -omit = src/gptravel/main.py - ignore_errors = True -show_missing = True \ No newline at end of file +show_missing = True + +omit = __init__.py, main.py \ No newline at end of file diff --git a/src/gptravel/core/services/engine/classifier.py b/src/gptravel/core/services/engine/classifier.py index b30eaed..805909f 100644 --- a/src/gptravel/core/services/engine/classifier.py +++ b/src/gptravel/core/services/engine/classifier.py @@ -1,6 +1,6 @@ import os from abc import ABC, abstractmethod -from typing import Any, Dict, List +from typing import Any, Dict, List, Optional import requests from dotenv import load_dotenv @@ -26,7 +26,7 @@ def multi_label(self, multi_label: bool) -> None: @abstractmethod def predict( self, input_text_list: List[str], label_classes: List[str] - ) -> Dict[str, Dict[str, float]]: + ) -> Optional[Dict[str, Dict[str, float]]]: pass @@ -39,28 +39,23 @@ def _query(self, payload: Dict[str, Any], api_url: str) -> Dict[str, Any]: headers = {"Authorization": f"Bearer {self._api_token}"} logger.debug("HuggingFace API fetching response: start") response = requests.post( - api_url, headers=headers, json=payload, timeout=20 + api_url, headers=headers, json=payload, timeout=50 ).json() logger.debug("HuggingFace API fetching response: complete") + if isinstance(response, dict): + logger.error( + "Hugging Face classifier: error in retrieving API response from %s", + api_url, + ) + logger.error("API respone: %s", response) + raise HuggingFaceError return response - def _query_on_different_apis(self, payload: Dict[str, Any]) -> Dict[str, Any]: - api_urls = [ - "https://api-inference.huggingface.co/models/facebook/bart-large-mnli", - "https://api-inference.huggingface.co/models/MoritzLaurer/mDeBERTa-v3-base-mnli-xnli", - "https://api-inference.huggingface.co/models/joeddav/xlm-roberta-large-xnli", - ] - for api_url in api_urls: - response = self._query(payload=payload, api_url=api_url) - if isinstance(response, list): - logger.debug("Using response from API url: %s", api_url) - return response - return response - - def predict( + def _predict( self, input_text_list: List[str], label_classes: List[str], + api_url: str, ) -> Dict[str, Dict[str, float]]: payload = { "inputs": input_text_list, @@ -69,15 +64,34 @@ def predict( "multi_label": self._multi_label, }, } - try: - response = self._query_on_different_apis(payload=payload) - return { - item["sequence"]: { - label: float(value) - for label, value in zip(item["labels"], item["scores"]) - } - for item in response + response = self._query(payload=payload, api_url=api_url) + return { + item["sequence"]: { + label: float(value) + for label, value in zip(item["labels"], item["scores"]) } - except Exception as exc: - logger.error("Hugging Face classifier: error in retrieving API response") - raise HuggingFaceError from exc + for item in response + } + + def predict( + self, input_text_list: List[str], label_classes: List[str] + ) -> Optional[Dict[str, Dict[str, float]]]: + api_url_list = [ + "https://api-inference.huggingface.co/models/facebook/bart-large-mnli", + "https://api-inference.huggingface.co/models/MoritzLaurer/mDeBERTa-v3-base-mnli-xnli", + "https://api-inference.huggingface.co/models/joeddav/xlm-roberta-large-xnli", + ] + for api_url in api_url_list: + try: + output = self._predict( + input_text_list=input_text_list, + label_classes=label_classes, + api_url=api_url, + ) + logger.debug("Using response from API url: %s", api_url) + return output + except HuggingFaceError: + pass + except requests.exceptions.ReadTimeout: + pass + return None diff --git a/src/gptravel/core/services/engine/entity_recognizer.py b/src/gptravel/core/services/engine/entity_recognizer.py new file mode 100644 index 0000000..d1a88fb --- /dev/null +++ b/src/gptravel/core/services/engine/entity_recognizer.py @@ -0,0 +1,44 @@ +from typing import Dict, Optional + +import spacy +from spacy.language import Language + +from gptravel.core.io.loggerconfig import logger + +RECOGNIZED_ENTITIES_CACHE = {} + + +class EntityRecognizer: + def __init__(self, trained_pipeline: str = "en_core_web_md") -> None: + self._nlp = None + try: + self._nlp = spacy.load( + trained_pipeline, + disable=[ + "tok2vec", + "tagger", + "parser", + "attribute_ruler", + "lemmatizer", + ], + ) + except OSError: + logger.warning("%s trained pipeline is not available", trained_pipeline) + + @property + def nlp(self) -> Optional[Language]: + return self._nlp + + def explain(self, code_class: str) -> Optional[str]: + return spacy.explain(code_class) + + def recognize(self, input_string: str) -> Optional[Dict[str, str]]: + if self._nlp is not None: + if input_string not in RECOGNIZED_ENTITIES_CACHE: + RECOGNIZED_ENTITIES_CACHE[input_string] = self._nlp(input_string).ents + if RECOGNIZED_ENTITIES_CACHE[input_string]: + return { + ent.text: ent.label_ + for ent in RECOGNIZED_ENTITIES_CACHE[input_string] + } + return None diff --git a/src/gptravel/core/services/engine/wikipedia.py b/src/gptravel/core/services/engine/wikipedia.py new file mode 100644 index 0000000..d4ff9af --- /dev/null +++ b/src/gptravel/core/services/engine/wikipedia.py @@ -0,0 +1,17 @@ +from typing import Optional + +from wikipediaapi import Wikipedia, WikipediaPage + + +class WikipediaEngine: + def __init__(self) -> None: + self._wiki_wiki = Wikipedia("Gptravel project", "en") + + def _page(self, title_page: str) -> WikipediaPage: + return self._wiki_wiki.page(title=title_page) + + def url(self, title_page: str) -> Optional[str]: + try: + return self._page(title_page).fullurl + except KeyError: + return None diff --git a/src/gptravel/core/services/geocoder.py b/src/gptravel/core/services/geocoder.py index 6a80756..9b64dc6 100644 --- a/src/gptravel/core/services/geocoder.py +++ b/src/gptravel/core/services/geocoder.py @@ -55,15 +55,21 @@ def location_coordinates(self, location_name: str) -> Dict[str, Optional[float]] return {"lat": fetched_location.latitude, "lon": fetched_location.longitude} return {"lat": None, "lon": None} - def location_distance(self, location_name_1: str, location_name_2: str) -> float: + def location_distance( + self, location_name_1: str, location_name_2: str + ) -> Optional[float]: if location_name_1.lower() == location_name_2.lower(): return 0.0 location1_coords = self.location_coordinates(location_name_1) location2_coords = self.location_coordinates(location_name_2) - return GRC( - (location1_coords["lat"], location1_coords["lon"]), - (location2_coords["lat"], location2_coords["lon"]), - ).km + if (location1_coords["lat"] is not None) & ( + location2_coords["lat"] is not None + ): + return GRC( + (location1_coords["lat"], location1_coords["lon"]), + (location2_coords["lat"], location2_coords["lon"]), + ).km + return None def is_location_country_city_state(self, location_name: str) -> bool: location_type = self._location_type(location_name) diff --git a/src/gptravel/core/services/score_builder.py b/src/gptravel/core/services/score_builder.py index c369f1b..ce33eab 100644 --- a/src/gptravel/core/services/score_builder.py +++ b/src/gptravel/core/services/score_builder.py @@ -1,7 +1,9 @@ from gptravel.core.services.engine.classifier import TextClassifier +from gptravel.core.services.engine.entity_recognizer import EntityRecognizer from gptravel.core.services.geocoder import GeoCoder from gptravel.core.services.scorer import ( ActivitiesDiversityScorer, + ActivityPlacesScorer, CitiesCountryScorer, DayGenerationScorer, OptimizedItineraryScorer, @@ -14,6 +16,9 @@ class ScorerOrchestrator: def __init__(self, geocoder: GeoCoder, text_classifier: TextClassifier) -> None: self._scorers = [ ActivitiesDiversityScorer(text_classifier), + ActivityPlacesScorer( + geolocator=geocoder, entity_recognizer=EntityRecognizer() + ), DayGenerationScorer(), CitiesCountryScorer(geolocator=geocoder), OptimizedItineraryScorer(geolocator=geocoder), diff --git a/src/gptravel/core/services/scorer.py b/src/gptravel/core/services/scorer.py index bd67e9f..65d5c4c 100644 --- a/src/gptravel/core/services/scorer.py +++ b/src/gptravel/core/services/scorer.py @@ -4,6 +4,7 @@ from gptravel.core.io.loggerconfig import logger from gptravel.core.services.config import ACTIVITIES_LABELS from gptravel.core.services.engine.classifier import TextClassifier +from gptravel.core.services.engine.entity_recognizer import EntityRecognizer from gptravel.core.services.engine.exception import HuggingFaceError from gptravel.core.services.engine.tsp_solver import TSPSolver from gptravel.core.services.geocoder import GeoCoder @@ -37,7 +38,7 @@ def score_weight_key(self) -> str: return self._score_weight_key @property - def score_map(self) -> Dict[str, Dict[str, Union[float, int]]]: + def score_map(self) -> Dict[str, Dict[str, Any]]: return self._score_map @property @@ -96,6 +97,8 @@ def score( labeled_activities = self._classifier.predict( input_text_list=activities_list, label_classes=self._activities_labels ) + if labeled_activities is None: + raise HuggingFaceError aggregated_scores = { key: sum(item[key] for item in labeled_activities.values()) for key in self._activities_labels @@ -314,3 +317,64 @@ def score( logger.debug("CitiesCountryScorer: End") else: logger.debug("CitiesCountryScorer: End -- No Computation needed") + + +class ActivityPlacesScorer(ScoreService): + def __init__( + self, + geolocator: GeoCoder, + entity_recognizer: EntityRecognizer, + score_weight: float = 1.0, + ) -> None: + service_name = "Activity Places" + super().__init__(service_name, score_weight) + self._geolocator = geolocator + self._er = entity_recognizer + + def score( + self, travel_plan: TravelPlanJSON, travel_plan_scores: TravelPlanScore + ) -> None: + logger.debug("ActivityPlacesScorer: Start") + logger.debug("Start recognizing entities in travel activities") + recognized_places = { + city: [ + self._er.recognize(activity) + for activity in travel_plan.get_travel_activities_from_city(city) + if self._er.recognize(activity) is not None + ] + for city in travel_plan.travel_cities + } + logger.debug("Recognized entities: %s", recognized_places) + # check if those places exists in the corresponding city + logger.debug("Start geolocalization of founded entities") + existing_places = 0.0 + total_entities = 0.0 + for city in recognized_places.keys(): + for entity in recognized_places[city]: + if entity is not None: + total_entities += 1 + entity_name = list(entity.keys())[0] + ", " + city + entity_country = self._geolocator.country_from_location_name( + entity_name + ) + if entity_country: + if ( + entity_country + == self._geolocator.country_from_location_name(city) + ): + logger.debug("Teh entity %s exists", entity_name) + existing_places += 1 + else: + logger.warn("The entity %s does not exist", entity_name) + entity_scores = existing_places / total_entities + logger.debug("ActivityPlacesScorer: score value = %f", entity_scores) + logger.debug("ActivityPlacesScorer: weight value = %f", self._score_weight) + travel_plan_scores.add_score( + score_type=self._service_name, + score_dict={ + travel_plan_scores.score_value_key: entity_scores, + travel_plan_scores.score_weight_key: self._score_weight, + "recognized_entities": recognized_places, + }, + ) + logger.debug("ActivityPlacesScorer: End") diff --git a/src/gptravel/core/travel_planner/travel_engine.py b/src/gptravel/core/travel_planner/travel_engine.py index 8e467ef..7373503 100644 --- a/src/gptravel/core/travel_planner/travel_engine.py +++ b/src/gptravel/core/travel_planner/travel_engine.py @@ -3,6 +3,7 @@ from gptravel.core.travel_planner.prompt import Prompt from gptravel.core.utils.general import ( + extract_inner_list_for_given_key, extract_inner_lists_from_json, extract_keys_by_depth_from_json, ) @@ -58,6 +59,9 @@ def get_key_values_by_name(self, key_name: str) -> List[Any]: except KeyError: return [] + def get_travel_activities_from_city(self, city_name: str) -> List[Any]: + return extract_inner_list_for_given_key(self._travel_plan, key=city_name) + @property def travel_cities(self) -> List[str]: return self.get_key_values_by_name("city") diff --git a/src/gptravel/core/utils/general.py b/src/gptravel/core/utils/general.py index e55518c..f6b3d78 100644 --- a/src/gptravel/core/utils/general.py +++ b/src/gptravel/core/utils/general.py @@ -16,10 +16,34 @@ def _extract_keys(json_obj: Dict[Any, Any], curr_depth: int) -> None: def extract_inner_lists_from_json(json_obj: Dict[Any, Any]) -> List[Any]: - activities = [] + inner_list = [] if isinstance(json_obj, dict): for value in json_obj.values(): - activities.extend(extract_inner_lists_from_json(value)) + inner_list.extend(extract_inner_lists_from_json(value)) elif isinstance(json_obj, list): - activities.extend(json_obj) - return activities + inner_list.extend(json_obj) + return inner_list + + +def extract_inner_list_for_given_key(json_obj: Dict[Any, Any], key: Any) -> List[Any]: + """ + Extracts all lists associated with the given key from a dictionary of undefined depth. + + Args: + dictionary (dict): The input dictionary. + key: The key to search for. + + Returns: + list: The extracted lists if the key is found, otherwise an empty list. + """ + lists = ( + [json_obj[key]] if key in json_obj and isinstance(json_obj[key], list) else [] + ) + + nested_lists = [ + extract_inner_list_for_given_key(value, key) + for value in json_obj.values() + if isinstance(value, (dict)) + ] + + return [item for sublist in lists + nested_lists for item in sublist] diff --git a/src/gptravel/main.py b/src/gptravel/main.py index 4ce88b3..e19365a 100644 --- a/src/gptravel/main.py +++ b/src/gptravel/main.py @@ -1,27 +1,92 @@ import json import os import time -from typing import Optional +from typing import Dict, List, Optional import openai from dotenv import load_dotenv +from gptravel.core.io.loggerconfig import logger from gptravel.core.services.checker import DaysChecker, ExistingDestinationsChecker from gptravel.core.services.engine.classifier import ZeroShotTextClassifier +from gptravel.core.services.engine.entity_recognizer import EntityRecognizer +from gptravel.core.services.engine.wikipedia import WikipediaEngine from gptravel.core.services.filters import DeparturePlaceFilter from gptravel.core.services.geocoder import GeoCoder from gptravel.core.services.score_builder import ScorerOrchestrator -from gptravel.core.services.scorer import TravelPlanScore +from gptravel.core.services.scorer import ActivityPlacesScorer, TravelPlanScore from gptravel.core.travel_planner.openai_engine import ChatGPTravelEngine from gptravel.core.travel_planner.prompt import PromptFactory - -# from gptravel.core.travel_planner.travel_engine import TravelPlanJSON +from gptravel.core.travel_planner.travel_engine import TravelPlanJSON load_dotenv() openai.api_key = os.getenv("OPENAI_API_KEY") +def get_wiki_urls_from_city_entities( + city_with_entity_map: Dict[str, List[Dict[str, str]]] +) -> Dict[str, List[Dict[str, str]]]: + wiki = WikipediaEngine() + output_map: Dict[str, List[Dict[str, str]]] = dict() + for city in city_with_entity_map.keys(): + list_of_entities = city_with_entity_map[city] + entities_list_with_url: List[Dict[str, str]] = [] + for entity in list_of_entities: + entity_name = list(entity.keys())[0] + trials = [ + entity_name + ", " + city, + entity_name + " of " + city, + entity_name, + ] + found_url = False + for trial in trials: + page_url = wiki.url(trial) + if page_url: + logger.debug("Wikipedia-page url for entity %s found", entity_name) + entities_list_with_url.append({entity_name: page_url}) + found_url = True + break + if not found_url: + logger.warning( + "Wikipedia-page url for entity %s not found", entity_name + ) + if len(entities_list_with_url) > 0: + output_map[city] = entities_list_with_url + return output_map + + +def modify_travel_plan_with_entity_urls_using_mkd( + entities_with_urls: Dict[str, List[Dict[str, str]]], travel_plan: TravelPlanJSON +) -> TravelPlanJSON: + import json + + from gptravel.core.utils.regex_tool import JsonExtractor + + if len(entities_with_urls) > 0: + travel_plan_string = "{}".format(json.dumps(travel_plan.travel_plan)) + for city in entities_with_urls.keys(): + entities_in_city = entities_with_urls[city] + for entity_dict in entities_in_city: + for entity_name in entity_dict.keys(): + if entity_name.lower() != city.lower(): + entity_with_url_in_mkd = "[{}]({})".format( + entity_name, entity_dict[entity_name] + ) + travel_plan_string = travel_plan_string.replace( + entity_name, entity_with_url_in_mkd + ) + regex = JsonExtractor() + return TravelPlanJSON( + departure_place=travel_plan.departure_place, + destination_place=travel_plan.destination_place, + n_days=travel_plan.n_days, + json_keys_depth_map=travel_plan.keys_map, + travel_plan_json=json.loads(regex(travel_plan_string)[0]), + ) + return travel_plan + + def main( destination_place: str, departure_place: str, @@ -38,23 +103,22 @@ def main( prompt_factory = PromptFactory() - prompt = prompt_factory.build_prompt(**travel_parameters) + prompt_factory.build_prompt(**travel_parameters) engine = ChatGPTravelEngine(max_tokens=350) - travel_plan_in_json_format = engine.get_travel_plan_json(prompt) - travel_plan_in_json_format = engine.get_travel_plan_json(prompt) + # travel_plan_in_json_format = engine.get_travel_plan_json(prompt) print( "** Execution time for travel generation", time.time() - start_time, "seconds" ) - with open( - "trave-l_plan_{}_{}.json".format(destination_place, n_days), "w" - ) as jfile: - json.dump(travel_plan_in_json_format.travel_plan, jfile) + # with open( + # "trave-l_plan_{}_{}.json".format(destination_place, n_days), "w" + # ) as jfile: + # json.dump(travel_plan_in_json_format.travel_plan, jfile) - """travel_plan_in_json_format = TravelPlanJSON( + travel_plan_in_json_format = TravelPlanJSON( destination_place="Malaysia", departure_place="Rome", - n_days=4, + n_days=3, travel_plan_json={ "Day 1": { "Kuala Lumpur": [ @@ -80,7 +144,7 @@ def main( }, }, json_keys_depth_map={"city": 1, "day": 0}, - )""" + ) filter_service = DeparturePlaceFilter() filter_service.filter(travel_plan=travel_plan_in_json_format) checker = DaysChecker() @@ -99,6 +163,19 @@ def main( score_container = TravelPlanScore() city_checker = ExistingDestinationsChecker(geo_decoder) city_checker.check(travel_plan_in_json_format) + scorer_activities = ActivityPlacesScorer( + geolocator=geo_decoder, entity_recognizer=EntityRecognizer() + ) + scorer_activities.score( + travel_plan=travel_plan_in_json_format, travel_plan_scores=score_container + ) + places = score_container.score_map["Activity Places"]["recognized_entities"] + output = get_wiki_urls_from_city_entities(places) + + out_plan = modify_travel_plan_with_entity_urls_using_mkd( + output, travel_plan_in_json_format + ) + print(output) scorers_orchestrator = ScorerOrchestrator( geocoder=geo_decoder, text_classifier=zs_classifier ) @@ -120,6 +197,6 @@ def main( main( destination_place="Malaysia", departure_place="Milan", - n_days=4, + n_days=3, travel_theme=None, ) diff --git a/src/gptravel/prototype/objects.py b/src/gptravel/prototype/objects.py new file mode 100644 index 0000000..20e3145 --- /dev/null +++ b/src/gptravel/prototype/objects.py @@ -0,0 +1,3 @@ +from gptravel.core.services.geocoder import GeoCoder + +geo_decoder = GeoCoder() diff --git a/src/gptravel/prototype/pages/home.py b/src/gptravel/prototype/pages/home.py index 924c147..0656b3f 100644 --- a/src/gptravel/prototype/pages/home.py +++ b/src/gptravel/prototype/pages/home.py @@ -3,9 +3,9 @@ import streamlit as st from gptravel.core.io.loggerconfig import logger -from gptravel.core.services.geocoder import GeoCoder from gptravel.prototype import help as prototype_help from gptravel.prototype import utils as prototype_utils +from gptravel.prototype.objects import geo_decoder from gptravel.prototype.pages import travel as travel_page @@ -101,9 +101,8 @@ def _is_valid_input( bool True if the input parameters are valid, False otherwise. """ - geo_coder = GeoCoder() - if (not geo_coder.is_location_country_city_state(departure)) or ( - not geo_coder.is_location_country_city_state(destination) + if (not geo_decoder.is_location_country_city_state(departure)) or ( + not geo_decoder.is_location_country_city_state(destination) ): warn_message = "Travel destination or/and departure is not valid." st.sidebar.warning(warn_message) diff --git a/src/gptravel/prototype/pages/travel.py b/src/gptravel/prototype/pages/travel.py index 51fc08c..cd4aceb 100644 --- a/src/gptravel/prototype/pages/travel.py +++ b/src/gptravel/prototype/pages/travel.py @@ -1,6 +1,6 @@ import os from datetime import datetime, timedelta -from typing import Any, Dict, Tuple +from typing import Any, Dict, List, Optional, Tuple import folium import numpy as np @@ -12,7 +12,6 @@ from gptravel.core.io.loggerconfig import logger from gptravel.core.services.checker import DaysChecker, ExistingDestinationsChecker from gptravel.core.services.filters import DeparturePlaceFilter -from gptravel.core.services.geocoder import GeoCoder from gptravel.core.travel_planner import openai_engine from gptravel.core.travel_planner.prompt import Prompt, PromptFactory from gptravel.core.travel_planner.token_manager import ChatGptTokenManager @@ -20,6 +19,7 @@ from gptravel.prototype import help as prototype_help from gptravel.prototype import style as prototype_style from gptravel.prototype import utils as prototype_utils +from gptravel.prototype.objects import geo_decoder def main( @@ -50,7 +50,7 @@ def main( Reason for travel. """ try: - travel_plan_dict, score_dict = _get_travel_plan( + travel_plan_json, score_dict = _get_travel_plan( openai_key=openai_key, departure=departure, destination=destination, @@ -62,7 +62,16 @@ def main( st.error(openai_rate_limit_error) st.markdown("### Travel Map 🗺️") - _show_travel_itinerary(travel_plan_dict, destination) + + recognized_entities = score_dict.score_map["Activity Places"]["recognized_entities"] + + if recognized_entities: + if len(recognized_entities) == 0: + recognized_entities = None + + _show_travel_itinerary( + travel_plan_json.travel_plan, destination, entities_dict=recognized_entities + ) st.markdown("### Travel Plan 📅") @@ -71,7 +80,24 @@ def main( f"{score_dict.weighted_score * 100:.0f} / 100", help=prototype_help.TRAVEL_SCORE_HELP, ) - _create_expanders_travel_plan(departure_date, score_dict, travel_plan_dict) + + if recognized_entities: + if len(recognized_entities) > 0: + entities_with_urls = prototype_utils.get_wiki_urls_from_city_entities( + city_with_entity_map=recognized_entities + ) + travel_plan_json_with_urls = ( + prototype_utils.modify_travel_plan_with_entity_urls_using_mkd( + entities_with_urls=entities_with_urls, travel_plan=travel_plan_json + ) + ) + + _create_expanders_travel_plan( + departure_date, + score_dict, + travel_plan_json.travel_plan, + travel_plan_json_with_urls.travel_plan, + ) st.markdown("### Organize Your Trip! 📝") @@ -91,25 +117,36 @@ def main( ) -def _show_travel_itinerary(travel_plan_dict: Dict[str, Any], destination: str) -> None: +def _show_travel_itinerary( + travel_plan_dict: Dict[str, Any], + destination: str, + entities_dict: Optional[Dict[str, List[Dict[str, str]]]] = None, +) -> None: logger.info("Show travel itinerary map: Start") travel_plan_cities_names = tuple( city for day in travel_plan_dict.keys() for city in travel_plan_dict[day].keys() ) - cities_coordinates = ( - prototype_utils.get_cities_coordinates_of_same_country_destionation( - cities=travel_plan_cities_names, destination=destination + if entities_dict: + coordinates = prototype_utils.get_entities_coordinates_of_same_country( + entities_dict=entities_dict, + cities=travel_plan_cities_names, + destination=destination, ) - ) - logger.debug("Computed coordinates = %s", cities_coordinates) + else: + coordinates = ( + prototype_utils.get_cities_coordinates_of_same_country_destionation( + cities=travel_plan_cities_names, destination=destination + ) + ) + logger.debug("Computed coordinates = %s", coordinates) coordinates_array = np.array( - [[coords[0], coords[1]] for coords in cities_coordinates.values()] + [[coords[0], coords[1]] for coords in coordinates.values()] ) mean_point_coordinates = np.median(coordinates_array, axis=0) - zoom_start = 6 if prototype_utils.is_a_country(destination) else 8 + zoom_start = 6 if prototype_utils.is_a_country(destination) else 10 folium_map = folium.Map(location=mean_point_coordinates, zoom_start=zoom_start) - for city, coordinates in cities_coordinates.items(): + for city, coordinates in coordinates.items(): folium.Marker(coordinates, popup=city, tooltip=city).add_to(folium_map) # call to render Folium map in Streamlit @@ -125,7 +162,7 @@ def _get_travel_plan( departure_date: datetime, return_date: datetime, travel_reason: str, -) -> Tuple[Dict[Any, Any], prototype_utils.TravelPlanScore]: +) -> Tuple[TravelPlanJSON, prototype_utils.TravelPlanScore]: """ Get the travel plan and score dictionary. @@ -146,8 +183,8 @@ def _get_travel_plan( Returns ------- - Tuple[Dict[Any, Any], TravelPlanScore] - A tuple containing the travel plan dictionary and the travel plan score. + Tuple[TravelPlanJSON, TravelPlanScore] + A tuple containing the travel plan TravelPlanJSON and the travel plan score. """ os.environ["OPENAI_API_KEY"] = openai_key n_days = (return_date - departure_date).days + 1 @@ -158,21 +195,19 @@ def _get_travel_plan( "travel_theme": travel_reason, } token_manager = ChatGptTokenManager() - geocoder = GeoCoder() - travel_distance = geocoder.location_distance(departure, destination) + travel_distance = geo_decoder.location_distance(departure, destination) max_number_tokens = token_manager.get_number_tokens( n_days=n_days, distance=travel_distance ) travel_plan_json = _get_travel_plan_json( travel_parameters=travel_parameters, max_tokens=max_number_tokens ) - checker = ExistingDestinationsChecker(geocoder) + checker = ExistingDestinationsChecker(geo_decoder) checker.check(travel_plan_json) - travel_plan_dict = travel_plan_json.travel_plan score_dict = prototype_utils.get_score_map(travel_plan_json) - return travel_plan_dict, score_dict + return travel_plan_json, score_dict def _get_travel_plan_json( @@ -229,6 +264,7 @@ def _create_expanders_travel_plan( departure_date: datetime, score_dict: prototype_utils.TravelPlanScore, travel_plan_dict: Dict[Any, Any], + travel_plan_dict_with_urls_to_display: Dict[Any, Any], ) -> None: """ Create expanders for displaying the travel plan. @@ -246,10 +282,12 @@ def _create_expanders_travel_plan( for day_num, (day_key, places_dict) in enumerate(travel_plan_dict.items()): date_str = (departure_date + timedelta(days=int(day_num))).strftime("%d-%m-%Y") expander_day_num = st.expander(f"{day_key} ({date_str})", expanded=True) + travel_day_with_url = travel_plan_dict_with_urls_to_display[day_key] for place, activities in places_dict.items(): expander_day_num.markdown(f"**{place}**") - for activity in activities: - activity_descr = f" {activity}" + activities_in_that_city_with_url = travel_day_with_url[place] + for index, activity in enumerate(activities): + activity_descr = f" {activities_in_that_city_with_url[index]}" if score_dict.score_map[scorer_name]["labeled_activities"] is not None: filtered_activities = [ items diff --git a/src/gptravel/prototype/utils.py b/src/gptravel/prototype/utils.py index efe57b6..6a029b5 100644 --- a/src/gptravel/prototype/utils.py +++ b/src/gptravel/prototype/utils.py @@ -1,3 +1,4 @@ +import json from datetime import date from typing import Dict, List, Tuple, Union @@ -5,10 +6,12 @@ from gptravel.core.io.loggerconfig import logger from gptravel.core.services.engine import classifier -from gptravel.core.services.geocoder import GeoCoder +from gptravel.core.services.engine.wikipedia import WikipediaEngine from gptravel.core.services.score_builder import ScorerOrchestrator from gptravel.core.services.scorer import TravelPlanScore from gptravel.core.travel_planner.travel_engine import TravelPlanJSON +from gptravel.core.utils.regex_tool import JsonExtractor +from gptravel.prototype.objects import geo_decoder def is_valid_openai_key(openai_key: str) -> bool: @@ -83,7 +86,6 @@ def get_score_map( Dict[str, Dict[str, Union[float, int]]] A dictionary containing the score map for the travel plan. """ - geo_decoder = GeoCoder() zs_classifier = classifier.ZeroShotTextClassifier(True) score_container = TravelPlanScore() logger.info("Score Engines: Start") @@ -100,26 +102,129 @@ def get_score_map( def get_cities_coordinates_of_same_country_destionation( cities: Union[List[str], Tuple[str]], destination: str ) -> Dict[str, Tuple]: - geo_coder = GeoCoder() logger.info("Get Cities coordinates: Start") logger.debug("Get Cities coordinates: cities to analyze = %s", cities) logger.debug("Get Cities coordinates: destination = %s", destination) destination_country = destination.lower() if not is_a_country(destination): - destination_country = geo_coder.country_from_location_name(destination).lower() + destination_country = geo_decoder.country_from_location_name( + destination + ).lower() logger.debug( "Get Cities coordinates: destination country = %s", destination_country ) cities_coordinates = { - city: tuple(coord for coord in geo_coder.location_coordinates(city).values()) + city: tuple(coord for coord in geo_decoder.location_coordinates(city).values()) for city in cities - if geo_coder.country_from_location_name(city).lower() == destination_country + if geo_decoder.country_from_location_name(city).lower() == destination_country } - logger.debug("Computed cities coordinates = %s", cities_coordinates) logger.info("Get Cities coordinates: End") return cities_coordinates +def get_entities_coordinates_of_same_country( + entities_dict: Dict[str, List[Dict[str, str]]], + cities: Union[List[str], Tuple[str]], + destination: str, +) -> Dict[str, Tuple]: + logger.info("Get Entities coordinates: Start") + destination_country = destination.lower() + coordinates: Dict[str, Tuple] = dict() + if not is_a_country(destination): + destination_country = geo_decoder.country_from_location_name(destination) + if destination_country: + destination_country = destination_country.lower() + for city in cities: + if geo_decoder.country_from_location_name(city).lower() == destination_country: + if city in entities_dict.keys(): + for entity_dict in entities_dict[city]: + for entity_name in entity_dict.keys(): + if (entity_name.lower() != city.lower()) and ( + len(entities_dict[city]) > 1 + ): + name_to_query = entity_name + ", " + city + coordinates[entity_name] = tuple( + coord + for coord in geo_decoder.location_coordinates( + name_to_query + ).values() + ) + elif (entity_name.lower() == city.lower()) and ( + len(entities_dict[city]) == 1 + ): + name_to_query = entity_name + coordinates[entity_name] = tuple( + coord + for coord in geo_decoder.location_coordinates( + name_to_query + ).values() + ) + else: + coordinates[city] = tuple( + coord for coord in geo_decoder.location_coordinates(city).values() + ) + logger.info("Get Entities coordinates: End") + return coordinates + + def is_a_country(place: str): - geo_coder = GeoCoder() - return geo_coder.is_a_country(place) + return geo_decoder.is_a_country(place) + + +def get_wiki_urls_from_city_entities( + city_with_entity_map: Dict[str, List[Dict[str, str]]] +) -> Dict[str, List[Dict[str, str]]]: + wiki = WikipediaEngine() + output_map: Dict[str, List[Dict[str, str]]] = dict() + for city in city_with_entity_map.keys(): + list_of_entities = city_with_entity_map[city] + entities_list_with_url: List[Dict[str, str]] = [] + for entity in list_of_entities: + entity_name = list(entity.keys())[0] + trials = [ + entity_name + ", " + city, + entity_name + " of " + city, + entity_name, + ] + found_url = False + for trial in trials: + page_url = wiki.url(trial) + if page_url: + logger.debug("Wikipedia-page url for entity %s found", entity_name) + entities_list_with_url.append({entity_name: page_url}) + found_url = True + break + if not found_url: + logger.warning( + "Wikipedia-page url for entity %s not found", entity_name + ) + if len(entities_list_with_url) > 0: + output_map[city] = entities_list_with_url + return output_map + + +def modify_travel_plan_with_entity_urls_using_mkd( + entities_with_urls: Dict[str, List[Dict[str, str]]], travel_plan: TravelPlanJSON +) -> TravelPlanJSON: + if len(entities_with_urls) > 0: + travel_plan_string = "{}".format(json.dumps(travel_plan.travel_plan)) + for city in entities_with_urls.keys(): + entities_in_city = entities_with_urls[city] + for entity_dict in entities_in_city: + for entity_name in entity_dict.keys(): + if entity_name.lower() != city.lower(): + entity_with_url_in_mkd = "[{}]({})".format( + entity_name, entity_dict[entity_name] + ) + travel_plan_string = travel_plan_string.replace( + entity_name, entity_with_url_in_mkd + ) + regex = JsonExtractor() + return TravelPlanJSON( + departure_place=travel_plan.departure_place, + destination_place=travel_plan.destination_place, + n_days=travel_plan.n_days, + json_keys_depth_map=travel_plan.keys_map, + travel_plan_json=json.loads(regex(travel_plan_string)[0]), + ) + return travel_plan diff --git a/tests/test_gptravel/test_app_streamlit/test_utils/test_general_streamlit_utils.py b/tests/test_gptravel/test_app_streamlit/test_utils/test_general_streamlit_utils.py index 957e881..b3737cf 100644 --- a/tests/test_gptravel/test_app_streamlit/test_utils/test_general_streamlit_utils.py +++ b/tests/test_gptravel/test_app_streamlit/test_utils/test_general_streamlit_utils.py @@ -9,6 +9,7 @@ from gptravel.prototype.utils import ( get_cities_coordinates_of_same_country_destionation, get_score_map, + get_wiki_urls_from_city_entities, is_departure_before_return, is_valid_openai_key, ) @@ -130,3 +131,19 @@ def test_get_score_map_on_travel_plan( 0 <= score_map["Activities Variety"]["labeled_activities"][key][label] <= 1 for label in labels_activities ) + + +def test_get_wiki_urls_from_city_entities(): + # Test the function with multiple entities and known results + city_with_entity_map = { + "Paris": [{"Eiffel Tower": "TOWER"}, {"Louvre Museum": "MUSEUM"}] + } + expected_result = { + "Paris": [ + {"Eiffel Tower": "https://en.wikipedia.org/wiki/Eiffel_Tower"}, + {"Louvre Museum": "https://en.wikipedia.org/wiki/Louvre"}, + ] + } + result = get_wiki_urls_from_city_entities(city_with_entity_map) + assert list(result.keys()) == list(expected_result.keys()) + assert result == expected_result diff --git a/tests/test_gptravel/test_core/test_services/test_engine.py/test_classifier.py b/tests/test_gptravel/test_core/test_services/test_engine/test_classifier.py similarity index 61% rename from tests/test_gptravel/test_core/test_services/test_engine.py/test_classifier.py rename to tests/test_gptravel/test_core/test_services/test_engine/test_classifier.py index b2a7400..bdb7cca 100644 --- a/tests/test_gptravel/test_core/test_services/test_engine.py/test_classifier.py +++ b/tests/test_gptravel/test_core/test_services/test_engine/test_classifier.py @@ -3,6 +3,7 @@ import pytest from gptravel.core.services.engine.classifier import ZeroShotTextClassifier +from gptravel.core.services.engine.exception import HuggingFaceError @pytest.fixture() @@ -13,7 +14,7 @@ def classifier() -> ZeroShotTextClassifier: @pytest.mark.skipif( os.getenv("HUGGING_FACE_KEY", "") == "", reason="no api key available" ) -class TestZeroShotClassified: +class TestZeroShotClassifier: def test_property(self, classifier: ZeroShotTextClassifier): assert classifier.multi_label classifier.multi_label = False @@ -28,3 +29,16 @@ def test_prediction(self, classifier: ZeroShotTextClassifier): for label in labels: assert (out[label] < 1) & (out[label] >= 0) assert max(out, key=out.get) == "sea" + + def test_raise_error(self, classifier: ZeroShotTextClassifier): + labels = ["sea", "land", "city"] + input_text = ["fish"] + try: + out = classifier._predict( + input_text_list=input_text, + label_classes=labels, + api_url="https://api-inference.huggingface.co/models/facebook/", + ) + assert False + except HuggingFaceError: + assert True diff --git a/tests/test_gptravel/test_core/test_services/test_engine/test_entity_recognizer.py b/tests/test_gptravel/test_core/test_services/test_engine/test_entity_recognizer.py new file mode 100644 index 0000000..336b575 --- /dev/null +++ b/tests/test_gptravel/test_core/test_services/test_engine/test_entity_recognizer.py @@ -0,0 +1,61 @@ +from typing import Dict, Optional + +import pytest + +from gptravel.core.services.engine.entity_recognizer import EntityRecognizer + + +@pytest.fixture() +def recognizer() -> EntityRecognizer: + return EntityRecognizer() + + +class TestEntityRecognizer: + def test_property(self, recognizer: EntityRecognizer): + assert recognizer.nlp + + @pytest.mark.parametrize( + "input_text, expected_result", + [ + ("I went to visit the Duomo", None), # {"Duomo": "ORG"}), + ("I went to visit the Duomo of Milan", {"the Duomo of Milan": "ORG"}), + ("I ate a good pizza", None), + ( + "Visit the Ein Gedi Nature Reserve for playing video games", + {"the Ein Gedi Nature Reserve": "ORG"}, + ), + ("Experience the refreshing waterfalls", None), + ("Visit Jaffa Old City", None), # {"Old City": "GPE"}), + ( + "Visit the Stella Maris Monastery", + None, + ), # {"the Stella Maris Monastery": "ORG"}), + ("Enjoy a sunset at Jaffa Port", {"Jaffa Port": "FAC"}), + ], + ) + def test_recognize( + self, + recognizer: EntityRecognizer, + input_text: str, + expected_result: Optional[Dict[str, str]], + ): + assert recognizer.recognize(input_text) == expected_result + + @pytest.mark.parametrize( + "input_code, expected_result", + [ + ("GPE", "Countries, cities, states"), + ("NNP", "noun, proper singular"), + ("LOC", "Non-GPE locations, mountain ranges, bodies of water"), + ("FAC", "Buildings, airports, highways, bridges, etc."), + ("ORG", "Companies, agencies, institutions, etc."), + ("BOTTLE", None), + ], + ) + def test_explain_code( + self, + recognizer: EntityRecognizer, + input_code: str, + expected_result: Optional[str], + ): + assert recognizer.explain(input_code) == expected_result diff --git a/tests/test_gptravel/test_core/test_services/test_engine.py/test_tsp_solver.py b/tests/test_gptravel/test_core/test_services/test_engine/test_tsp_solver.py similarity index 61% rename from tests/test_gptravel/test_core/test_services/test_engine.py/test_tsp_solver.py rename to tests/test_gptravel/test_core/test_services/test_engine/test_tsp_solver.py index 223d4cb..c891847 100644 --- a/tests/test_gptravel/test_core/test_services/test_engine.py/test_tsp_solver.py +++ b/tests/test_gptravel/test_core/test_services/test_engine/test_tsp_solver.py @@ -49,3 +49,37 @@ def test_open_tsp(self, tsp_solver: TSPSolver) -> None: solution, distance = tsp_solver.solve(cities=cities, open_problem=True) assert solution == ["Milan", "Verona", "Venice", "Bologna", "Rome", "New York"] assert distance == pytest.approx(7587.457, 0.001) + + def test_simulated_annealing_tsp(self, tsp_solver: TSPSolver) -> None: + cities = [ + "Milan", + "Rome", + "Venice", + "New York", + "Verona", + "Bologna", + "Paris", + "Amsterdam", + "Florence", + "Bangkok", + "Tokyo", + ] + from gptravel.core.io.loggerconfig import logger + + solution, distance = tsp_solver.solve(cities=cities, open_problem=True) + logger.debug("SOLUTION {}".format(solution)) + logger.debug("DISTANCE {}".format(distance)) + assert solution == [ + "Milan", + "Bologna", + "Florence", + "Rome", + "Venice", + "Verona", + "Paris", + "Amsterdam", + "New York", + "Tokyo", + "Bangkok", + ] + assert distance == pytest.approx(23553.416, 0.001) diff --git a/tests/test_gptravel/test_core/test_services/test_engine/test_wikipedia.py b/tests/test_gptravel/test_core/test_services/test_engine/test_wikipedia.py new file mode 100644 index 0000000..1318af8 --- /dev/null +++ b/tests/test_gptravel/test_core/test_services/test_engine/test_wikipedia.py @@ -0,0 +1,34 @@ +import pytest +from wikipediaapi import WikipediaPage + +from gptravel.core.services.engine.wikipedia import WikipediaEngine + + +class TestWikipediaEngine: + @pytest.fixture + def wikipedia_engine(self) -> WikipediaEngine: + return WikipediaEngine() + + def test_url_valid_title(self, wikipedia_engine: WikipediaEngine): + title = "Python (programming language)" + url = wikipedia_engine.url(title) + assert url is not None + assert isinstance(url, str) + assert "wikipedia.org" in url + + def test_url_invalid_title(self, wikipedia_engine: WikipediaEngine): + title = "Invalid Title" + url = wikipedia_engine.url(title) + assert url is None + + def test_page_exists(self, wikipedia_engine: WikipediaEngine): + title = "Python (programming language)" + page = wikipedia_engine._page(title) + assert isinstance(page, WikipediaPage) + assert page.exists() + + def test_page_not_exists(self, wikipedia_engine: WikipediaEngine): + title = "Invalid Title" + page = wikipedia_engine._page(title) + assert isinstance(page, WikipediaPage) + assert not page.exists() diff --git a/tests/test_gptravel/test_core/test_services/test_geocoder.py b/tests/test_gptravel/test_core/test_services/test_geocoder.py index 734f1b8..1430f9e 100644 --- a/tests/test_gptravel/test_core/test_services/test_geocoder.py +++ b/tests/test_gptravel/test_core/test_services/test_geocoder.py @@ -1,37 +1,62 @@ +from typing import Dict, Optional + import pytest from gptravel.core.services.geocoder import GeoCoder class TestGeoCoder: - def test_country_from_location_name(self, geo_coder: GeoCoder): - assert geo_coder.country_from_location_name("Paris, France") == "France" - assert geo_coder.country_from_location_name("London, UK") == "United Kingdom" - assert ( - geo_coder.country_from_location_name("Los Angeles, US") == "United States" - ) - assert geo_coder.country_from_location_name("Mumbai, India") == "India" - assert geo_coder.country_from_location_name("PortaSigrar") is None + @pytest.mark.parametrize( + "location_name, expected_country", + [ + ("Paris, France", "France"), + ("London, UK", "United Kingdom"), + ("Los Angelese, US", "United States"), + ("Mumbay, India", "India"), + ("PortaSigrar", None), + ], + ) + def test_country_from_location_name( + self, geo_coder: GeoCoder, location_name: str, expected_country: Optional[str] + ): + assert geo_coder.country_from_location_name(location_name) == expected_country - def test_location_coordinates(self, geo_coder: GeoCoder): - assert geo_coder.location_coordinates("kolkata") == { - "lat": 22.5726459, - "lon": 88.3638953, - } - output = geo_coder.location_coordinates("delhi") - assert output["lat"] == pytest.approx(28.6, 0.1) - assert output["lon"] == pytest.approx(77.2, 0.1) - assert geo_coder.location_coordinates("PortaSigrar") == { - "lat": None, - "lon": None, - } + @pytest.mark.parametrize( + "location_name, expected_coordinates", + [ + ("kolkata", {"lat": 22.9, "lon": 88.4}), + ("delhi", {"lat": 28.6, "lon": 77.2}), + ("PortaSigrar", {"lat": None, "lon": None}), + ], + ) + def test_location_coordinates( + self, + geo_coder: GeoCoder, + location_name: str, + expected_coordinates: Dict[str, Optional[float]], + ): + coords = geo_coder.location_coordinates(location_name) + keys = ["lat", "lon"] + for k in keys: + assert coords[k] == pytest.approx(expected_coordinates[k], 0.1) - def test_location_distance(self, geo_coder: GeoCoder): - assert geo_coder.location_distance("kolkata", "delhi") == pytest.approx( - 1305.106, 0.001 - ) - assert geo_coder.location_distance("delhi", "delhi") == pytest.approx( - 0.0, 0.001 + @pytest.mark.parametrize( + "location1, location2, expected_distance", + [ + ("kolkata", "delhi", 1305.106), + ("delhi", "delhi", 0.0), + ("PortaSigrar", "delhi", None), + ], + ) + def test_location_distance( + self, + geo_coder: GeoCoder, + location1: str, + location2: str, + expected_distance: float, + ): + assert geo_coder.location_distance(location1, location2) == pytest.approx( + expected_distance, 0.001 ) @pytest.mark.parametrize( @@ -48,7 +73,7 @@ def test_location_distance(self, geo_coder: GeoCoder): ], ) def test_is_location_country_city_state( - self, geo_coder, location_name, expected_result + self, geo_coder: GeoCoder, location_name: str, expected_result: bool ): assert ( geo_coder.is_location_country_city_state(location_name) == expected_result @@ -67,5 +92,7 @@ def test_is_location_country_city_state( ("Pippo", False), ], ) - def test_is_location_country(self, geo_coder, location_name, expected_result): + def test_is_location_country( + self, geo_coder: GeoCoder, location_name: str, expected_result: bool + ): assert geo_coder.is_a_country(location_name) == expected_result diff --git a/tests/test_gptravel/test_core/test_travel_planner/test_travel_engine.py b/tests/test_gptravel/test_core/test_travel_planner/test_travel_engine.py index 7bec1bf..96340fd 100644 --- a/tests/test_gptravel/test_core/test_travel_planner/test_travel_engine.py +++ b/tests/test_gptravel/test_core/test_travel_planner/test_travel_engine.py @@ -35,6 +35,22 @@ def test_travel_plan_properties( ] }, } + assert travel_plan_single_city_per_day.get_travel_activities_from_city( + "Phuket" + ) == [ + "Spend time at the Patong Beach", + "Visit Big Buddha Phuket", + "Explore the Phuket Old Town", + "Enjoy local street food at night markets", + ] + assert travel_plan_single_city_per_day.get_travel_activities_from_city( + "Bangkok" + ) == [ + "Visit Wat Phra Kaew and the Grand Palace", + "Explore the Wat Pho Temple", + "Ride a boat in the Chao Phraya River", + "Shop at Chatuchak weekend market", + ] def test_travel_plan_single_city_per_day( self, @@ -44,6 +60,10 @@ def test_travel_plan_single_city_per_day( assert days == ["Day 1", "Day 2", "Day 3"] cities = travel_plan_single_city_per_day.get_key_values_by_name(key_name="city") assert cities == ["Bangkok", "Phuket", "Krabi"] + key_values = travel_plan_single_city_per_day.get_key_values_by_name( + key_name="rr" + ) + assert key_values == [] activities = travel_plan_single_city_per_day.travel_activities assert activities == [ "Visit Wat Phra Kaew and the Grand Palace", diff --git a/tests/test_gptravel/test_core/test_utils/test_general.py b/tests/test_gptravel/test_core/test_utils/test_general.py index 8199bde..da06a01 100644 --- a/tests/test_gptravel/test_core/test_utils/test_general.py +++ b/tests/test_gptravel/test_core/test_utils/test_general.py @@ -1,6 +1,7 @@ import json from gptravel.core.utils.general import ( + extract_inner_list_for_given_key, extract_inner_lists_from_json, extract_keys_by_depth_from_json, ) @@ -110,3 +111,29 @@ def test_extract_inner_list_wrong_input(): # Example with wrong input type data = "wrong input type" assert not extract_inner_lists_from_json(data) + + +def test_extract_inner_list_for_given_key(): + # Example with nested dictionaries and lists + data = { + "Day 1": { + "City 1": ["activity 1", "activity 2"], + "City 2": ["activity 3", "activity 4"], + }, + "Day 2": { + "City 1": ["activity 5", "activity 6"], + }, + } + assert extract_inner_list_for_given_key(data, "City 1") == [ + "activity 1", + "activity 2", + "activity 5", + "activity 6", + ] + assert extract_inner_list_for_given_key(data, "City 2") == [ + "activity 3", + "activity 4", + ] + assert extract_inner_list_for_given_key(data, "City 4") == [] + data = {} + assert extract_inner_list_for_given_key(data, "City 4") == []