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= "^2.3" oauthlib = "^3.2.0" requests = "^2.27.1" +pyyaml = "6.0.1" [tool.poetry.dev-dependencies] pytest = "^5.2" diff --git a/todoist_analytics/backend/data_collector.py b/todoist_analytics/backend/data_collector.py index 6b0fe5b..5274fde 100644 --- a/todoist_analytics/backend/data_collector.py +++ b/todoist_analytics/backend/data_collector.py @@ -2,17 +2,15 @@ import numpy as np import pandas as pd -import todoist - -from todoist_analytics.frontend.colorscale import color_code_to_hex - +from todoist_analytics.backend.todoist import TodoistAPI +from todoist_analytics.frontend.colorscale import color_name_to_hex class DataCollector: def __init__(self, token): self.token = token self.items = pd.DataFrame() self.projects = pd.DataFrame() - self.api = todoist.TodoistAPI(self.token) + self.api = TodoistAPI(token) self.api.sync() self.current_offset = 0 @@ -23,7 +21,7 @@ def _collect_active_tasks(self): pass def _collect_completed_tasks(self, limit, offset): - data = self.api.completed.get_all(limit=limit, offset=offset) + data = self.api.get_all_completed(limit=limit, offset=offset) if data == "Service Unavailable\n": time.sleep(3) data = self._collect_completed_tasks(limit, offset) @@ -58,13 +56,8 @@ def _collect_all_completed_tasks(self, limit=10000): self.current_offset = new_shape stop_collecting = True - def _state_to_dataframe(self, state, key): - f = [d.data for d in state[str(key)]] - f = pd.DataFrame(f) - return f - def _collect_active_tasks(self): - self.active_tasks = self._state_to_dataframe(self.api.state, "items") + self.active_tasks = pd.DataFrame(self.api.state["items"]) keep_columns = [ "checked", "content", @@ -74,7 +67,7 @@ def _collect_active_tasks(self): "labels", "priority", "project_id", - "date_added", + "added_at", "id", ] self.active_tasks = self.active_tasks[keep_columns] @@ -85,7 +78,7 @@ def _preprocess_completed_tasks(self, completed_tasks, projects): projects = projects.rename({"id": "project_id"}, axis=1) completed_tasks["datehour_completed"] = pd.to_datetime( - completed_tasks["completed_date"] + completed_tasks["completed_at"] ) self.get_user_timezone() @@ -121,9 +114,10 @@ def _preprocess_completed_tasks(self, completed_tasks, projects): ) completed_tasks["hex_color"] = completed_tasks["color"].apply( - lambda x: color_code_to_hex[int(x)]["hex"] + lambda x: color_name_to_hex[x] ) + completed_tasks.drop("notes", axis=1, inplace=True) completed_tasks = completed_tasks.drop_duplicates().reset_index(drop=True) return completed_tasks, projects diff --git a/todoist_analytics/backend/todoist.py b/todoist_analytics/backend/todoist.py new file mode 100644 index 0000000..44ce32e --- /dev/null +++ b/todoist_analytics/backend/todoist.py @@ -0,0 +1,21 @@ +import requests + +class TodoistAPI: + def __init__(self, token): + self.token = token + self.endpoint = "https://api.todoist.com/sync/v9" + self.session = requests.Session() + self.session.headers["Authorization"] = f"Bearer {self.token}" + + def sync(self): + response = self.session.post(f"{self.endpoint}/sync", data={ + "sync_token": "*", + "resource_types": '["all"]' + }) + self.state = response.json() + + def get_all_completed(self, limit, offset): + return self.session.get( + f"{self.endpoint}/completed/get_all", + params={ "limit": limit, "offset": offset } + ).json() diff --git a/todoist_analytics/backend/utils.py b/todoist_analytics/backend/utils.py index 27cdb5e..810047a 100644 --- a/todoist_analytics/backend/utils.py +++ b/todoist_analytics/backend/utils.py @@ -4,8 +4,6 @@ from pandas.core.frame import DataFrame from todoist_analytics.backend.data_collector import DataCollector -from todoist_analytics.frontend.colorscale import color_code_to_hex - def create_color_palette(completed_tasks: DataFrame): project_id_color = pd.Series( diff --git a/todoist_analytics/frontend/colorscale.py b/todoist_analytics/frontend/colorscale.py index 3461bfc..3f8eeeb 100644 --- a/todoist_analytics/frontend/colorscale.py +++ b/todoist_analytics/frontend/colorscale.py @@ -1,22 +1,22 @@ -color_code_to_hex = { - 30: {"color_name": "berry_red", "hex": "#b8256f"}, - 31: {"color_name": "red", "hex": "#db4035"}, - 32: {"color_name": "orange", "hex": "#ff9933"}, - 33: {"color_name": "yellow", "hex": "#fad000"}, - 34: {"color_name": "olive_green", "hex": "#afb83b"}, - 35: {"color_name": "lime_green", "hex": "#7ecc49"}, - 36: {"color_name": "green", "hex": "#299438"}, - 37: {"color_name": "mint_green", "hex": "#6accbc"}, - 38: {"color_name": "teal", "hex": "#158fad"}, - 39: {"color_name": "sky_blue", "hex": "#14aaf5"}, - 40: {"color_name": "light_blue", "hex": "#96c3eb"}, - 41: {"color_name": "blue", "hex": "#4073ff"}, - 42: {"color_name": "grape", "hex": "#884dff"}, - 43: {"color_name": "violet", "hex": "#af38eb"}, - 44: {"color_name": "lavender", "hex": "#eb96eb"}, - 45: {"color_name": "magenta", "hex": "#e05194"}, - 46: {"color_name": "salmon", "hex": "#ff8d85"}, - 47: {"color_name": "charcoal", "hex": "#808080"}, - 48: {"color_name": "grey", "hex": "#b8b8b8"}, - 49: {"color_name": "taupe", "hex": "#ccac93"}, +color_name_to_hex = { + "berry_red": " #b8256f", + "light_blue": " #96c3eb", + "red": " #db4035", + "blue": " #4073ff", + "orange": " #ff9933", + "grape": " #884dff", + "yellow": " #fad000", + "violet": " #af38eb", + "olive_green": " #afb83b", + "lavender": " #eb96eb", + "lime_green": " #7ecc49", + "magenta": " #e05194", + "green": " #299438", + "salmon": " #ff8d85", + "mint_green": " #6accbc", + "charcoal": " #808080", + "teal": " #158fad", + "grey": " #b8b8b8", + "sky_blue": " #14aaf5", + "taupe": " #ccac93" }