diff --git a/.vscode/settings.json b/.vscode/settings.json index 11f347a..af60fa3 100644 --- a/.vscode/settings.json +++ b/.vscode/settings.json @@ -1,7 +1,6 @@ { "editor.formatOnSave": true, "editor.tabSize": 2, - // Formatter "[python]": { "editor.defaultFormatter": "charliermarsh.ruff", @@ -16,11 +15,11 @@ "editor.codeActionsOnSave": { "source.fixAll.eslint": "explicit" }, - // Python Settings "python.analysis.extraPaths": [ "/workspace/backend/.venv/lib/python3.14/site-packages" ], + "python.defaultInterpreterPath": "${workspaceFolder}/backend/.venv/bin/python3.14", "python.analysis.autoImportCompletions": true, "python.analysis.typeCheckingMode": "strict", "python.analysis.fixAll": [ @@ -36,7 +35,6 @@ }, "ruff.interpreter": ["${workspaceFolder}/backend/.venv/bin/python"], "ruff.path": ["${workspaceFolder}/backend/.venv/bin/ruff"], - // Indent Rainbow "indentRainbow.indicatorStyle": "light", "indentRainbow.lightIndicatorStyleLineWidth": 1, @@ -47,7 +45,6 @@ "rgba(255,127,255, 0.2)", "rgba(79,236,236, 0.2)" ], - // Error Lens "errorLens.gutterIconsEnabled": true, "errorLens.gutterIconSet": "emoji", @@ -57,7 +54,6 @@ "info": "📘", "hint": "🍏" }, - // Spell "cSpell.enabledSchemes": { "comment": true, @@ -73,10 +69,8 @@ "vsls": true, "overleaf-workshop": true }, - // Commnet Translate "commentTranslate.hover.nearShow": false, - // TODO Tree "todo-tree.highlights.defaultHighlight": { "gutterIcon": true diff --git a/README.md b/README.md index 4f961c3..f73694e 100644 --- a/README.md +++ b/README.md @@ -83,22 +83,28 @@ VSCode で Dev Container でプロジェクトを開きます。 ### 5. 初期設定 1. `backend`ディレクトリに事前のデータを格納するディレクトリを作成します。 -2. 各環境変数を作成します。 -3. 以下のコマンドでパッケージをインストールします。 +2. 以下の手順に従って送信用のメールアドレスを設定します。 + 1. [myaccount.google.com/security](https://myaccount.google.com/security) を開きます。 + 2. 「2段階認証プロセス」を有効にします。 + 3. [myaccount.google.com/apppasswords](https://myaccount.google.com/apppasswords) を開きます。 + 4. 「アプリ名」に任意の名前を入力して「作成」を押し、表示された16文字のパスワード(xxxx xxxx xxxx xxxx形式<環境変数に設定する際は空白は含まない>)を控える。 + +3. 各環境変数を作成します。 +4. 以下のコマンドでパッケージをインストールします。 ```bash task frontend -- pnpm i task backend -- uv sync ``` -4. 以下のコマンドでアプリを起動します。 +5. 以下のコマンドでアプリを起動します。 ```bash task frontend:dev task backend:dev ``` -5. アプリを公開する場合はドメインを取得しておきます。 +6. アプリを公開する場合はドメインを取得しておきます。 ### 6. Claude Code diff --git a/Taskfile.yml b/Taskfile.yml index 25efe70..af9cf5d 100644 --- a/Taskfile.yml +++ b/Taskfile.yml @@ -23,7 +23,9 @@ tasks: desc: Run backend in development mode dir: backend cmds: - - task backend -- uv run uvicorn main:app --reload --host 0.0.0.0 + - task backend -- uv run uvicorn main:app --reload --host 0.0.0.0 --workers 1 + # 本番では以下のコマンドでワーカーを増やしたいが、キューシステムを導入するならシングルワーカーで動作させたい + # - task backend -- uv run uvicorn main:app --host 0.0.0.0 --workers 4 # Frontend tasks frontend:format: diff --git a/backend/.env.example b/backend/.env.example index f0a2cef..928a8aa 100644 --- a/backend/.env.example +++ b/backend/.env.example @@ -20,4 +20,13 @@ VAULT_DIR=${DATASTORE_DIR}/vault API_V1_PREFIX=/api/v1 # 識別id生成用のソルト -DATA_ID_SALT=change_me \ No newline at end of file +DATA_ID_SALT=change_me + + +# メール送信設定(SMTPサーバー情報) +MAIL_ADDRESS=your-address@gmail.com +MAIL_USERNAME=${MAIL_ADDRESS} +MAIL_PASSWORD=xxxxxxxxxxxxxxxx +MAIL_FROM=${MAIL_ADDRESS} +MAIL_PORT=587 +MAIL_SERVER=smtp.mail.com \ No newline at end of file diff --git a/backend/main.py b/backend/main.py index f42dd7e..42495b4 100644 --- a/backend/main.py +++ b/backend/main.py @@ -5,7 +5,7 @@ from fastapi.middleware.cors import CORSMiddleware from src.core.load_env import envs -from src.routers import estimate_sleep, extract_steps, llm_feedback +from src.routers import estimate_sleep, extract_steps, llm_feedback, via_email app = FastAPI() @@ -28,3 +28,4 @@ app.include_router(extract_steps.router, prefix=envs.API_V1_PREFIX) app.include_router(estimate_sleep.router, prefix=envs.API_V1_PREFIX) app.include_router(llm_feedback.router, prefix=envs.API_V1_PREFIX) +app.include_router(via_email.router, prefix=envs.API_V1_PREFIX) diff --git a/backend/pyproject.toml b/backend/pyproject.toml index d266c1e..a583027 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -6,13 +6,17 @@ requires-python = ">=3.12" dependencies = [ "fastapi>=0.115.0", "uvicorn[standard]>=0.32.0", - "pydantic>=2.9.0", + "pydantic[email]>=2.9.0", "pydantic-settings>=2.6.0", "pandas>=2.2.0", "python-dateutil>=2.9.0.post0", "pandera>=0.28.1", "scikit-learn>=1.8.0", "openai>=2.20.0", + "python-multipart>=0.0.24", + "fastapi-mail>=1.6.2", + "jinja2>=3.1.6", + "markdown>=3.10.2", ] [build-system] diff --git a/backend/src/core/constants.py b/backend/src/core/constants.py index 711031a..cc56b88 100644 --- a/backend/src/core/constants.py +++ b/backend/src/core/constants.py @@ -35,3 +35,6 @@ HOLIDAY_TIME_RANGE = ["3:00", "4:45", "12:45", "20:45"] """休日の精査範囲""" + +FAILED_GENERATE_FEEDBACK = "フィードバックの生成に失敗しました。" +"""フィードバックの生成に失敗した際のメッセージ""" diff --git a/backend/src/core/load_env.py b/backend/src/core/load_env.py index c251c70..7d76149 100644 --- a/backend/src/core/load_env.py +++ b/backend/src/core/load_env.py @@ -2,7 +2,7 @@ from functools import lru_cache -from pydantic import Field +from pydantic import EmailStr, Field from pydantic_settings import BaseSettings, SettingsConfigDict @@ -33,6 +33,24 @@ class Envs(BaseSettings): DATA_ID_SALT: str = Field() """識別id生成用のソルト""" + MAIL_ADDRESS: EmailStr = Field() + """メールアドレス""" + + MAIL_USERNAME: EmailStr = Field() + """SMTPサーバーのユーザー名""" + + MAIL_PASSWORD: str = Field() + """SMTPサーバーのパスワード""" + + MAIL_FROM: EmailStr = Field() + """送信元メールアドレス""" + + MAIL_PORT: int = Field(default=587) + """ポート""" + + MAIL_SERVER: str = Field(default="smtp.gmail.com") + """SMTPサーバーのホスト名""" + OLLAMA_ENDPOINT: str = Field(default="http://host.docker.internal:11434/v1/") """ollamaのエンドポイント""" diff --git a/backend/src/routers/estimate_sleep.py b/backend/src/routers/estimate_sleep.py index ffbdec4..aec5f43 100644 --- a/backend/src/routers/estimate_sleep.py +++ b/backend/src/routers/estimate_sleep.py @@ -1,21 +1,8 @@ -import pandas as pd from fastapi import APIRouter -from pandera.typing import DataFrame from src.schemas.estimate_sleep import EstimateSleepRequest, EstimateSleepResponse -from src.schemas.extract_steps import StepCountDFSchema -from src.usecases.estimate_sleep.detection_late_night_usecase import detect_late_night -from src.usecases.estimate_sleep.estimate_sleep_duration_usecase import ( - estimate_sleep_duration_from_step, -) -from src.usecases.estimate_sleep.feature_of_late_night_usecase import ( - create_feature_value, -) -from src.usecases.estimate_sleep.save_data_to_storage_usecase import ( - get_llms, - save_data_to_storage, -) -from src.usecases.estimate_sleep.step_clustering_usecase import step_clustering +from src.usecases.estimate_sleep.run_estimate_sleep_usecase import run_estimate_sleep +from src.usecases.estimate_sleep.save_data_to_storage_usecase import get_llms router = APIRouter(prefix="/estimate-sleep", tags=["estimate-sleep"]) @@ -36,45 +23,7 @@ def estimate_sleep(req: EstimateSleepRequest) -> EstimateSleepResponse: """睡眠推定を受け付ける""" - id = req.id - answers = req.answers - step_data = req.step_data - - # NAS に入力データを保存 - save_data_to_storage(id, step_data) - - step_count_df: DataFrame[StepCountDFSchema] = pd.DataFrame( - [record.model_dump() for record in step_data] - ) # type: ignore - - # 外出検知のため1分あたりの歩数を計算しクラスタリングを行う - estimate_going_out_df, cluster_stats = step_clustering(step_count_df) - - # 歩数データから夜更かしを推定するための特徴量を抽出 - feature = create_feature_value(step_count_df, answers.bedtime_answer) - - # 特徴量から夜更かし検知を行う - late_night_list = detect_late_night(feature) - - # print(late_night_list) - - # print(estimate_going_out_df) - - # print(cluster_stats) - - # 歩数データから睡眠時刻を推定する - estimated_data = estimate_sleep_duration_from_step( - estimate_going_out_df, - late_night_list, - answers.charging_before_bed_answer, - answers.carrying_a_smartphone_answer, - ) - - # NAS に推定結果を保存 - save_data_to_storage(id, cluster_stats.clusters) - save_data_to_storage(id, estimated_data) - - # フィードバックに使用可能なLLMを取得 + estimated_data, _ = run_estimate_sleep(req.id, req.step_data, req.answers) models = get_llms() return EstimateSleepResponse(data=estimated_data, models=models) diff --git a/backend/src/routers/extract_steps.py b/backend/src/routers/extract_steps.py index 1b9ac9e..3bb8c7d 100644 --- a/backend/src/routers/extract_steps.py +++ b/backend/src/routers/extract_steps.py @@ -4,6 +4,7 @@ ExtractedSteps, ExtractedStepsResponse, ExtractStepsQueryParams, + validate_extract_params, ) from src.usecases.extract_steps.extract_steps_usecase import ( extract_steps_from_applehealthcare, @@ -34,43 +35,17 @@ def extract_steps( ) -> ExtractedStepsResponse: """歩数データの抽出を受け付ける""" - start_date_of_extract = query_params.start_date_of_extract - end_date_of_extract = query_params.end_date_of_extract - months_of_extract = query_params.months_of_extract - include_recorded_sleep = query_params.include_recorded_sleep - - # バリデーション: start_date と end_date の両方が指定されているか、months_of_extract のみが指定されているか - has_date_range = ( - start_date_of_extract is not None and end_date_of_extract is not None - ) - has_months = months_of_extract is not None - - if has_date_range and has_months: - raise HTTPException( - status_code=400, - detail="start_date_of_extract / end_date_of_extract と months_of_extract は同時に指定できません。どちらか一方を指定してください。", - ) - - if not has_date_range and not has_months: - raise HTTPException( - status_code=400, - detail="start_date_of_extract / end_date_of_extract の両方、または months_of_extract のいずれかを指定してください。", - ) - - if has_date_range: - # start_date と end_date の片方だけ指定されていないかチェック - if start_date_of_extract is None or end_date_of_extract is None: - raise HTTPException( - status_code=400, - detail="start_date_of_extract と end_date_of_extract は両方指定する必要があります。", - ) + try: + validate_extract_params(query_params) + except ValueError as e: + raise HTTPException(status_code=400, detail=str(e)) extracted_data: ExtractedSteps = extract_steps_from_applehealthcare( xml_data, - start_date_of_extract, - end_date_of_extract, - months_of_extract, - include_recorded_sleep, + query_params.start_date_of_extract, + query_params.end_date_of_extract, + query_params.months_of_extract, + query_params.include_recorded_sleep, ) return ExtractedStepsResponse(data=extracted_data) diff --git a/backend/src/routers/via_email.py b/backend/src/routers/via_email.py new file mode 100644 index 0000000..9d86bab --- /dev/null +++ b/backend/src/routers/via_email.py @@ -0,0 +1,91 @@ +from fastapi import APIRouter, Depends, File, Form, HTTPException, UploadFile + +from src.schemas.extract_steps import ExtractStepsQueryParams, validate_extract_params +from src.schemas.via_email import ViaEmailRequest +from src.usecases.estimate_sleep.run_estimate_sleep_usecase import run_estimate_sleep +from src.usecases.estimate_sleep.save_data_to_storage_usecase import get_llms +from src.usecases.extract_steps.extract_steps_usecase import ( + extract_steps_from_applehealthcare, +) +from src.usecases.llm_feedback.get_feedback_usecase import get_feedback +from src.usecases.via_email.send_email_usecase import send_email + +router = APIRouter(prefix="/via-email", tags=["via-email"]) + + +async def _parse_via_email_req( + req: str = Form( + description="アンケート回答・送信先メールアドレスを含むJSONデータ", + example='{"answers": {"charging_before_bed_answer": 2, "carrying_a_smartphone_answer": 1, "bedtime_answer": 1}, "lang": "ja", "email_to": "user@example.com"}', + ), +) -> ViaEmailRequest: + try: + return ViaEmailRequest.model_validate_json(req) + except Exception as e: + raise HTTPException(status_code=422, detail=str(e)) + + +@router.post( + "", + summary="睡眠推定・フィードバック処理を実行し、Email で結果を送信", + description="睡眠推定・フィードバック処理を実行し、Email で結果を送信する。", + responses={ + 200: { + "description": "解析・フィードバック処理が完了", + }, + 400: { + "description": "リクエストのバリデーションエラー", + }, + }, +) +async def via_email( + query_params: ExtractStepsQueryParams = Depends(), + xml_file: UploadFile = File( + description="Apple Healthcareからエクスポートしたzipファイルを解凍した時に取得できるXMLファイル(export.xml)", + ), + via_email_req: ViaEmailRequest = Depends(_parse_via_email_req), +) -> None: + """Email 経由で睡眠推定・フィードバック処理を実行する\n""" + + try: + validate_extract_params(query_params) + except ValueError as e: + raise HTTPException(status_code=400, detail=str(e)) + + xml_data = (await xml_file.read()).decode() + + extracted = extract_steps_from_applehealthcare( + xml_data, + query_params.start_date_of_extract, + query_params.end_date_of_extract, + query_params.months_of_extract, + query_params.include_recorded_sleep, + ) + + estimated_data, clusters = run_estimate_sleep( + extracted.id, + extracted.step_data, + via_email_req.answers, + ) + + models = get_llms() + + model = models[0] + + estimate_sleep_json = [r.model_dump(mode="json") for r in estimated_data] + clusters_json = [c.model_dump(mode="json") for c in clusters] + + feedback = get_feedback( + estimate_sleep_json, # type: ignore + clusters_json, # type: ignore + model, + via_email_req.lang, + ) + + print(feedback) + + await send_email( + via_email_req.email_to, + feedback, + model, + ) diff --git a/backend/src/schemas/extract_steps.py b/backend/src/schemas/extract_steps.py index 4ef83a5..cd43716 100644 --- a/backend/src/schemas/extract_steps.py +++ b/backend/src/schemas/extract_steps.py @@ -52,6 +52,37 @@ def __iter__(self): ) +def validate_extract_params( + query_params: ExtractStepsQueryParams, +) -> None: + """ExtractStepsQueryParams のバリデーションを行う""" + + has_date_range = ( + query_params.start_date_of_extract is not None + and query_params.end_date_of_extract is not None + ) + has_months = query_params.months_of_extract is not None + + if has_date_range and has_months: + raise ValueError( + "start_date_of_extract / end_date_of_extract と months_of_extract は同時に指定できません。どちらか一方を指定してください。" + ) + + if not has_date_range and not has_months: + raise ValueError( + "start_date_of_extract / end_date_of_extract の両方、または months_of_extract のいずれかを指定してください。" + ) + + if not has_months: + if ( + query_params.start_date_of_extract is None + or query_params.end_date_of_extract is None + ): + raise ValueError( + "start_date_of_extract と end_date_of_extract は両方指定する必要があります。" + ) + + class StepCountRecord(BaseModel): """睡眠推定に使用する歩数レコードのスキーマ""" diff --git a/backend/src/schemas/via_email.py b/backend/src/schemas/via_email.py new file mode 100644 index 0000000..e18c2bb --- /dev/null +++ b/backend/src/schemas/via_email.py @@ -0,0 +1,31 @@ +from typing import Literal + +from pydantic import BaseModel, EmailStr, Field + +from src.schemas.estimate_sleep import Answers + + +class ViaEmailRequest(BaseModel): + """Email経由で解析を実行するリクエストボディ""" + + answers: Answers = Field( + description="睡眠状態を推定するためのアンケートの回答", + examples=[ + { + "charging_before_bed_answer": 2, + "carrying_a_smartphone_answer": 1, + "bedtime_answer": 1, + } + ], + ) + """睡眠状態を推定するためのアンケートの回答""" + + lang: Literal["ja", "en"] = Field( + description="LLM のフィードバック言語", examples=["ja"] + ) + """LLM のフィードバック言語""" + + email_to: EmailStr = Field( + description="結果を送信するメールアドレス", examples=["user@example.com"] + ) + """結果を送信するメールアドレス""" diff --git a/backend/src/usecases/estimate_sleep/run_estimate_sleep_usecase.py b/backend/src/usecases/estimate_sleep/run_estimate_sleep_usecase.py new file mode 100644 index 0000000..b4b1f53 --- /dev/null +++ b/backend/src/usecases/estimate_sleep/run_estimate_sleep_usecase.py @@ -0,0 +1,64 @@ +from typing import List, Tuple + +import pandas as pd +from pandera.typing import DataFrame + +from src.schemas.estimate_sleep import ( + Answers, + DailyEstimateSleepRecord, + StepClusterRecord, +) +from src.schemas.extract_steps import StepCountDFSchema, StepCountRecord +from src.usecases.estimate_sleep.detection_late_night_usecase import detect_late_night +from src.usecases.estimate_sleep.estimate_sleep_duration_usecase import ( + estimate_sleep_duration_from_step, +) +from src.usecases.estimate_sleep.feature_of_late_night_usecase import ( + create_feature_value, +) +from src.usecases.estimate_sleep.save_data_to_storage_usecase import ( + save_data_to_storage, +) +from src.usecases.estimate_sleep.step_clustering_usecase import step_clustering + + +def run_estimate_sleep( + id: str, + step_data: List[StepCountRecord], + answers: Answers, +) -> Tuple[ + List[DailyEstimateSleepRecord], + Tuple[StepClusterRecord, StepClusterRecord, StepClusterRecord], +]: + """歩数データからの睡眠推定処理を一括実行する + + Args: + id (str): データ識別用のID + step_data (List[StepCountRecord]): 歩数データ + answers (Answers): アンケートの回答 + + Returns: + Tuple: (推定睡眠データ, 歩数クラスター) + """ + + save_data_to_storage(id, step_data) + + step_count_df: DataFrame[StepCountDFSchema] = pd.DataFrame( + [record.model_dump() for record in step_data] + ) # type: ignore + + estimate_going_out_df, cluster_stats = step_clustering(step_count_df) + feature = create_feature_value(step_count_df, answers.bedtime_answer) + late_night_list = detect_late_night(feature) + + estimated_data = estimate_sleep_duration_from_step( + estimate_going_out_df, + late_night_list, + answers.charging_before_bed_answer, + answers.carrying_a_smartphone_answer, + ) + + save_data_to_storage(id, cluster_stats.clusters) + save_data_to_storage(id, estimated_data) + + return estimated_data, cluster_stats.clusters diff --git a/backend/src/usecases/llm_feedback/get_feedback_usecase.py b/backend/src/usecases/llm_feedback/get_feedback_usecase.py index cdf4f06..a3394e5 100644 --- a/backend/src/usecases/llm_feedback/get_feedback_usecase.py +++ b/backend/src/usecases/llm_feedback/get_feedback_usecase.py @@ -4,6 +4,7 @@ from openai import OpenAI +from src.core.constants import FAILED_GENERATE_FEEDBACK from src.core.load_env import envs from src.schemas.estimate_sleep import DailyEstimateSleepRecord, StepClusterRecord @@ -24,6 +25,7 @@ def get_feedback( Args: data (List[StepCountRecord] | List[DailyEstimateSleepRecord]): 推定睡眠データ clusters (Tuple[StepClusterRecord, StepClusterRecord, StepClusterRecord]): 歩数クラスターデータ + llm (str): llm名 lang (Literal[ja", "en"]): 言語 Returns: @@ -50,7 +52,7 @@ def get_feedback( ], ) - feedback: str = completion.choices[0].message.content + feedback: str = completion.choices[0].message.content or FAILED_GENERATE_FEEDBACK return _strip_code_fence(feedback) diff --git a/backend/src/usecases/via_email/__init__.py b/backend/src/usecases/via_email/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/backend/src/usecases/via_email/send_email_usecase.py b/backend/src/usecases/via_email/send_email_usecase.py new file mode 100644 index 0000000..5b86a64 --- /dev/null +++ b/backend/src/usecases/via_email/send_email_usecase.py @@ -0,0 +1,44 @@ +from pathlib import Path + +import markdown +from fastapi import HTTPException +from fastapi_mail import ConnectionConfig, FastMail, MessageSchema, MessageType + +from src.core.load_env import envs + +conf = ConnectionConfig( + MAIL_USERNAME=envs.MAIL_USERNAME, + MAIL_PASSWORD=envs.MAIL_PASSWORD, # type: ignore + MAIL_FROM=envs.MAIL_FROM, + MAIL_PORT=envs.MAIL_PORT, + MAIL_SERVER=envs.MAIL_SERVER, + MAIL_STARTTLS=True, + MAIL_SSL_TLS=False, + USE_CREDENTIALS=True, + VALIDATE_CERTS=True, + TEMPLATE_FOLDER=Path(__file__).resolve().parents[3] / "templates", +) + + +async def send_email(email_to: str, feedback: str, llm: str) -> None: + """フィードバックメール送信 + + Args: + email_to (str): 送信先メールアドレス + feedback (str): フィードバック + llm (str): llm名 + """ + try: + message = MessageSchema( + subject="睡眠推定フィードバック", + recipients=[email_to], # type: ignore + template_body={ + "feedback": markdown.markdown(feedback, extensions=["extra"]), + "llm": llm, + }, + subtype=MessageType.html, + ) + fm = FastMail(conf) + await fm.send_message(message, template_name="email.html") + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) diff --git a/backend/templates/email.html b/backend/templates/email.html new file mode 100644 index 0000000..0b5ecd4 --- /dev/null +++ b/backend/templates/email.html @@ -0,0 +1,75 @@ + + + + + + + + 睡眠推定フィードバック + + + +
+
+
+ + + +
+
+

Sleep Insight

+

+ ヘルスデータから睡眠を分析した結果をお届けします +

+
+
+ +
+
+
+ + + + + + + + +
+

AI フィードバック

+
+
+
{{ feedback | safe }}
+
+

+ このフィードバックは {{ llm }} によって生成されました。 +

+
+
+ + +
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+ color: #737373; +} + +/* ── Card ── */ +.card { + background-color: #ffffff; + border: 1px solid #e8e8e8; + border-radius: 10px; + overflow: hidden; +} + +.card-header { + padding: 20px 24px 12px; + display: flex; + align-items: center; + gap: 8px; +} + +.card-icon { + width: 32px; + height: 32px; + min-width: 32px; + background-color: #f0f0f0; + border-radius: 8px; + display: flex; + align-items: center; + justify-content: center; +} + +.card-title { + margin: 0; + font-size: 16px; + font-weight: 600; + color: #141414; +} + +.card-content { + padding: 0 24px 24px; +} + +/* ── Markdown ── */ +.md { + font-size: 16px; + line-height: 1.6; + border-radius: 8px; + overflow-wrap: break-word; + color: #141414; +} + +.md h1 { + font-size: 1.8em; + font-weight: bold; + margin-bottom: 4px; +} +.md h3 { + font-size: 1.25em; + font-weight: bold; + margin-bottom: 4px; +} +.md p { + margin-bottom: 8px; +} +.md a { + color: #3182ce; + text-decoration: none; +} + +.md pre { + border: 1px solid #737373; + background: #09090b; + color: #fafafa; + border-radius: 8px; + padding: 12px; + overflow-x: auto; + font-family: "Courier New", Courier, monospace; + margin-bottom: 8px; +} + +.md code { + border-radius: 4px; + padding: 2px 4px; + font-family: "Courier New", Courier, monospace; + font-size: 0.95em; +} + +.md ul { + list-style-type: disc; + padding-left: 20px; + margin-bottom: 8px; +} +.md ol { + list-style-type: decimal; + padding-left: 20px; + margin-bottom: 8px; +} +.md li { + margin-bottom: 8px; +} + +.md blockquote { + border-left: 4px solid #3182ce; + padding-left: 12px; + margin-left: 0; + color: #4a5568; + font-style: italic; +} + +.md table { + width: 100%; + border-collapse: collapse; + margin-bottom: 8px; +} +.md th, +.md td { + border: 1px solid #1c1c1c; + padding: 8px; + text-align: left; +} +.md th { + font-weight: bold; +} + +/* ── Separator ── */ +.separator { + height: 1px; + background-color: #e8e8e8; + margin: 16px 0; +} + +/* ── Footer ── */ +.footer { + margin-top: 24px; + text-align: center; + font-size: 12px; + color: #a3a3a3; +} + +/* ── ダークモード強制上書き ── */ +@media (prefers-color-scheme: dark) { + body { + background-color: #ffffff !important; + color: #141414 !important; + } + .card { + background-color: #ffffff !important; + border-color: #e8e8e8 !important; + } + .header-title { + color: #141414 !important; + } + .header-subtitle { + color: #737373 !important; + } + .header-icon { + background-color: #1c1c1c !important; + } + .card-icon { + background-color: #f0f0f0 !important; + } + .card-title { + color: #141414 !important; + } + .md { + color: #141414 !important; + } + .separator { + background-color: #e8e8e8 !important; + } +} diff --git a/backend/uv.lock b/backend/uv.lock index 8dda841..6f77d1c 100644 --- a/backend/uv.lock +++ b/backend/uv.lock @@ -2,6 +2,15 @@ version = 1 revision = 3 requires-python = ">=3.12" +[[package]] +name = "aiosmtplib" +version = "5.1.0" +source = { registry = "https://pypi.org/simple" } +sdist = { 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upload-time = "2025-11-03T21:33:45.557Z" }, +] + [[package]] name = "ruff" version = "0.14.10" @@ -800,12 +1156,16 @@ version = "0.1.0" source = { editable = "." } dependencies = [ { name = "fastapi" }, + { name = "fastapi-mail" }, + { name = "jinja2" }, + { name = "markdown" }, { name = "openai" }, { name = "pandas" }, { name = "pandera" }, - { name = "pydantic" }, + { name = "pydantic", extra = ["email"] }, { name = "pydantic-settings" }, { name = "python-dateutil" }, + { name = "python-multipart" }, { name = "scikit-learn" }, { name = "uvicorn", extra = ["standard"] }, ] @@ -821,12 +1181,16 @@ dev = [ [package.metadata] requires-dist = [ { name = "fastapi", specifier = ">=0.115.0" }, + { name = "fastapi-mail", specifier = ">=1.6.2" }, + { name = "jinja2", specifier = ">=3.1.6" }, + { name = "markdown", specifier = ">=3.10.2" }, { name = "openai", specifier = ">=2.20.0" }, { name = "pandas", specifier = ">=2.2.0" }, { name = "pandera", specifier = ">=0.28.1" }, - { name = "pydantic", specifier = ">=2.9.0" }, + { name = "pydantic", extras = ["email"], specifier = ">=2.9.0" }, { name = "pydantic-settings", specifier = ">=2.6.0" }, { name = "python-dateutil", specifier = ">=2.9.0.post0" }, + { name = "python-multipart", specifier = ">=0.0.24" }, { name = "scikit-learn", specifier = ">=1.8.0" }, { name = "uvicorn", extras = ["standard"], specifier = ">=0.32.0" }, ] diff --git a/frontend/app/components/email-view.tsx b/frontend/app/components/email-view.tsx new file mode 100644 index 0000000..a5b199d --- /dev/null +++ b/frontend/app/components/email-view.tsx @@ -0,0 +1,45 @@ +import { useTranslation } from "react-i18next"; + +import { ArrowLeft } from "lucide-react"; + +import { Button } from "./ui/button"; +import { Card, CardContent } from "./ui/card"; + +type Props = { + /** + * メールアドレス + */ + email: string; +}; + +export const EmailView = ({ email }: Props) => { + const { t } = useTranslation(); + + const handleReset = () => { + window.location.reload(); + }; + + return ( +
+ + +
+

+ {t("email.sentTitle")} +

+

+ {t("email.sentDescription", { email })} +

+
+
+
+ +
+ ); +}; diff --git a/frontend/app/components/result-view.tsx b/frontend/app/components/result-view.tsx index 89d8077..28b4ac4 100644 --- a/frontend/app/components/result-view.tsx +++ b/frontend/app/components/result-view.tsx @@ -235,10 +235,7 @@ export const ResultsView = ({ id, data, models }: props) => { - + ; @@ -12,4 +13,5 @@ export const defaultSurveyValues: SurveyAnswers = { chargingBeforeBedAnswer: "", carryingASmartphoneAnswer: "", bedtime: "", + email: "", }; diff --git a/frontend/app/locales/translation-en.json b/frontend/app/locales/translation-en.json index 82d01d6..f1ce4c0 100644 --- a/frontend/app/locales/translation-en.json +++ b/frontend/app/locales/translation-en.json @@ -27,6 +27,13 @@ "fileType": "XML file", "deleteFile": "Remove file" }, + "email": { + "title": "Receive Results", + "description": "Feedback takes time to generate, so we'll send the results to your email. If you don't provide an email, you can view the results on the screen.", + "placeholder": "Enter your email address", + "sentTitle": "Analysis received", + "sentDescription": "We'll send the results to {{email}} once the analysis is complete." + }, "analyzeButton": "Start Analysis", "loading": { "extractStatus": "Extracting health data", diff --git a/frontend/app/locales/translation-ja.json b/frontend/app/locales/translation-ja.json index e3c6ab6..22a3ab6 100644 --- a/frontend/app/locales/translation-ja.json +++ b/frontend/app/locales/translation-ja.json @@ -27,6 +27,13 @@ "fileType": "XML ファイル", "deleteFile": "ファイルを削除" }, + "email": { + "title": "結果を受け取る", + "description": " フィードバックには時間がかかるため結果をメールでお届けします。未入力の場合はそのまま画面上で結果を確認できます。", + "placeholder": "メールアドレスを入力", + "sentTitle": "分析を受け付けました", + "sentDescription": "分析が完了次第、結果を {{email}} にお送りします。" + }, "analyzeButton": "分析を開始する", "loading": { "extractStatus": "ヘルスデータを抽出中", diff --git a/frontend/app/routes/home.tsx b/frontend/app/routes/home.tsx index d12f2b3..037c1ce 100644 --- a/frontend/app/routes/home.tsx +++ b/frontend/app/routes/home.tsx @@ -5,7 +5,7 @@ import { useForm } from "react-hook-form"; import { useTranslation } from "react-i18next"; import { zodResolver } from "@hookform/resolvers/zod"; -import { ArrowRight } from "lucide-react"; +import { ArrowRight, Mail } from "lucide-react"; import { Button } from "~/components/ui/button"; import { @@ -15,7 +15,9 @@ import { CardHeader, CardTitle, } from "~/components/ui/card"; +import { Input } from "~/components/ui/input"; +import { EmailView } from "~/components/email-view"; import { FileUpload } from "~/components/file-upload"; import { Header } from "~/components/header"; import { Loading } from "~/components/loading"; @@ -34,6 +36,7 @@ import { useExtractSteps } from "~/utils/use-extract-steps"; const Home = () => { const { t } = useTranslation(); const [file, setFile] = useState(null); + const [emailValue, setEmailValue] = useState(""); const { control, @@ -61,46 +64,49 @@ const Home = () => { const handleSubmit = async () => { if (!isFormComplete) return; - try { - const extractStepResult = await extractStepTrigger(file); - - const { id, step_data } = extractStepResult; - - const surveyValues = getValues(); - - let bedtime_answer; - - if (surveyValues.bedtime > "03:00" && surveyValues.bedtime < "20:45") { - bedtime_answer = 1; - } else bedtime_answer = 0; - - const result = await estimateSleepTrigger({ - id, - step_data, - answers: { - charging_before_bed_answer: Number( - surveyValues.chargingBeforeBedAnswer - ), - carrying_a_smartphone_answer: Number( - surveyValues.carryingASmartphoneAnswer - ), + const { + chargingBeforeBedAnswer, + carryingASmartphoneAnswer, + bedtime, + email, + } = getValues(); + + setEmailValue(email || ""); + + if (email) { + console.log("Email provided:", email); + } else { + try { + const extractStepResult = await extractStepTrigger(file); + + const { id, step_data } = extractStepResult; + + let bedtime_answer; + + if (bedtime > "03:00" && bedtime < "20:45") { + bedtime_answer = 1; + } else bedtime_answer = 0; + + const result = await estimateSleepTrigger({ + id, + step_data, + answers: { + charging_before_bed_answer: Number(chargingBeforeBedAnswer), + carrying_a_smartphone_answer: Number(carryingASmartphoneAnswer), + bedtime_answer, + }, + }); + + console.log({ + charging_before_bed_answer: Number(chargingBeforeBedAnswer), + carrying_a_smartphone_answer: Number(carryingASmartphoneAnswer), bedtime_answer, - }, - }); - - console.log({ - charging_before_bed_answer: Number( - surveyValues.chargingBeforeBedAnswer - ), - carrying_a_smartphone_answer: Number( - surveyValues.carryingASmartphoneAnswer - ), - bedtime_answer, - }); - - console.log(result); - } catch (error) { - console.error(error); + }); + + console.log(result); + } catch (error) { + console.error(error); + } } }; @@ -111,7 +117,7 @@ const Home = () => {
{/* Input State */} - {!estimateSleepData && !isLoading && ( + {!estimateSleepData && !isLoading && !emailValue && (
@@ -140,6 +146,27 @@ const Home = () => { + + + {t("email.title")} + {t("email.description")} + + +
+
+ + +
+
+
+
+