From d46124a9d82eb3d1fe4aa53acd165dc4a9817820 Mon Sep 17 00:00:00 2001 From: merwanehamadi Date: Tue, 18 Jul 2023 09:17:45 -0700 Subject: [PATCH] Push reports to google drive (#167) Signed-off-by: Merwane Hamadi --- .github/workflows/ci.yml | 3 + .gitignore | 1 + json_to_base_64.py | 17 + poetry.lock | 753 ++++++++++++++++++++++++++++----------- pyproject.toml | 3 + send_to_googledrive.py | 112 ++++++ 6 files changed, 682 insertions(+), 207 deletions(-) create mode 100644 json_to_base_64.py create mode 100644 send_to_googledrive.py diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 3b0dc50f..e34b2e86 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -191,3 +191,6 @@ jobs: git fetch origin $current_branch git rebase origin/$current_branch git push origin HEAD + poetry run python send_to_googledrive.py + env: + GDRIVE_BASE64: ${{ secrets.GDRIVE_BASE64 }} diff --git a/.gitignore b/.gitignore index 7d0419ca..1b0f3ba1 100644 --- a/.gitignore +++ b/.gitignore @@ -162,3 +162,4 @@ cython_debug/ .idea/ .DS_Store ``` +secrets.json diff --git a/json_to_base_64.py b/json_to_base_64.py new file mode 100644 index 00000000..42cbc4df --- /dev/null +++ b/json_to_base_64.py @@ -0,0 +1,17 @@ +import base64 +import json + +# Load JSON data from a file +with open("secrets.json", "r") as f: + data = json.load(f) + +# Convert the JSON object into a string +json_string = json.dumps(data) + +# Encode the string into bytes +json_bytes = json_string.encode("utf-8") + +# Convert the bytes to a base64 string +base64_string = base64.b64encode(json_bytes).decode("utf-8") + +print(base64_string) diff --git a/poetry.lock b/poetry.lock index ad72f5e1..5b51cb14 100644 --- a/poetry.lock +++ b/poetry.lock @@ -217,6 +217,18 @@ d = ["aiohttp (>=3.7.4)"] jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"] uvloop = ["uvloop (>=0.15.2)"] +[[package]] +name = "cachetools" +version = "5.3.1" +description = "Extensible memoizing collections and decorators" +category = "dev" +optional = false +python-versions = ">=3.7" +files = [ + {file = "cachetools-5.3.1-py3-none-any.whl", hash = "sha256:95ef631eeaea14ba2e36f06437f36463aac3a096799e876ee55e5cdccb102590"}, + {file = "cachetools-5.3.1.tar.gz", hash = "sha256:dce83f2d9b4e1f732a8cd44af8e8fab2dbe46201467fc98b3ef8f269092bf62b"}, +] + [[package]] name = "certifi" version = "2023.5.7" @@ -231,99 +243,99 @@ files = [ [[package]] name = "charset-normalizer" -version = "3.1.0" +version = "3.2.0" description = "The Real First Universal Charset Detector. 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@@ multidict = ">=4.0" [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "09871e879785f0a7d5c31a61553cd2df08d88324a864b9c56b8e97d95893157f" +content-hash = "4dbf4bdf1965f80ad6ae3c27c6dab58e9ccf2e0fd154c8380e2df9e30455ffcd" diff --git a/pyproject.toml b/pyproject.toml index 48be9cf5..cf0504d6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -25,6 +25,9 @@ mypy = "^0.910" isort = "^5.9.3" black = "22.3" autoflake = "^1.4" +pandas = "^2.0.3" +gspread = "^5.10.0" +oauth2client = "^4.1.3" [build-system] requires = ["poetry-core"] diff --git a/send_to_googledrive.py b/send_to_googledrive.py new file mode 100644 index 00000000..aa074ea6 --- /dev/null +++ b/send_to_googledrive.py @@ -0,0 +1,112 @@ +import base64 +import json +import os + +import gspread +import pandas as pd +from dotenv import load_dotenv +from oauth2client.service_account import ServiceAccountCredentials + +# Load environment variables from .env file +load_dotenv() + +# Get the base64 string from the environment variable +base64_creds = os.getenv("GDRIVE_BASE64") + +if base64_creds is None: + raise ValueError("The GDRIVE_BASE64 environment variable is not set") + +# Decode the base64 string into bytes +creds_bytes = base64.b64decode(base64_creds) + +# Convert the bytes into a string +creds_string = creds_bytes.decode("utf-8") + +# Parse the string into a JSON object +creds_info = json.loads(creds_string) + +# Define the base directory containing JSON files +base_dir = "reports" + +# Create a list to store each row of data +rows = [] + +# Loop over each directory in the base directory +for sub_dir in os.listdir(base_dir): + # Define the subdirectory path + sub_dir_path = os.path.join(base_dir, sub_dir) + + # Ensure the sub_dir_path is a directory + if os.path.isdir(sub_dir_path): + # Loop over each file in the subdirectory + for filename in os.listdir(sub_dir_path): + # Check if the file is a JSON file + if filename.endswith(".json"): + # Define the file path + file_path = os.path.join(sub_dir_path, filename) + + # Load the JSON data from the file + with open(file_path, "r") as f: + data = json.load(f) + + # Loop through each test + for test_name, test_info in data["tests"].items(): + # Create a dictionary to hold the information for this row + row = { + "Agent": sub_dir, + "Command": data.get("command", ""), + "Completion Time": data.get("completion_time", ""), + "Total Run Time": data.get("metrics", {}).get("run_time", ""), + "Highest Difficulty": data.get("metrics", {}).get( + "highest_difficulty", "" + ), + "Workspace": data.get("config", {}).get("workspace", ""), + "Test Name": test_name, + "Data Path": test_info.get("data_path", ""), + "Is Regression": test_info.get("is_regression", ""), + "Difficulty": test_info.get("metrics", {}).get( + "difficulty", "" + ), + "Success": test_info.get("metrics", {}).get("success", ""), + "Success %": test_info.get("metrics", {}).get("success_%", ""), + "Non mock success %": test_info.get("metrics", {}).get( + "non_mock_success_%", "" + ), + "Run Time": test_info.get("metrics", {}).get("run_time", ""), + } + + # Add this row to the list + rows.append(row) + +# Convert the list of rows into a DataFrame +df = pd.DataFrame(rows) + +# Define the scope +scope = [ + "https://spreadsheets.google.com/feeds", + "https://www.googleapis.com/auth/drive", +] + +# Add your service account credentials +creds = ServiceAccountCredentials.from_json_keyfile_dict(creds_info, scope) + +# Authorize the clientsheet +client = gspread.authorize(creds) + +# Get the instance of the Spreadsheet +sheet = client.open("benchmark") + +# Get the first sheet of the Spreadsheet +sheet_instance = sheet.get_worksheet(0) + +# Convert dataframe to list of lists for uploading to Google Sheets +values = df.values.tolist() + +# Prepend the header to the values list +values.insert(0, df.columns.tolist()) + +# Clear the existing values in the worksheet +sheet_instance.clear() + +# Update the worksheet with the new values +sheet_instance.append_rows(values)