Export your TeslaFi user data to CSV format that TeslaMate can easily import (fixes bugs in the official script)

thelinuxguy-teslafi-data-exporter.py

# Author: Giovanni Mazzeo (github.com/thelinuxguy)
# Script fetches your TeslaFi.com user data to allow importing into TeslaMate.

# Updated 04/05/2025 to include more fields to normalize based on comments in gist.

# My script fixes a couple bugs and issues seen by other people running the older script:
# 1) "Invalid CSV delimiter" issue: https://github.com/teslamate-org/teslamate/issues/4569
# 2) "battery_level" column integeter data change in 2024. https://github.com/teslamate-org/teslamate/issues/4477

# You can thank me by buying me a coffee :) 
# https://buymeacoffee.com/thelinuxguy

import requests
import csv
from io import StringIO
from lxml.html import fromstring

username = 'username'
password = 'password'
years = [2020, 2021, 2022, 2023, 2024, 2025] # array of years you want to export
months = [1,2,3,4,5,6,7,8,9,10,11,12] # I assume all the months, up to you
cookie = ''

# Set the proper delimiter that validate_csv.py expects
CSV_DELIMITER = ',' # Change this if your validator expects a different delimiter

def login():
    url = "https://teslafi.com/userlogin.php"
    response = requests.request("GET", url, headers={}, data={})
    
    cookies = ""
    for key in response.cookies.keys():
        this_cookie = key + "=" + response.cookies.get(key)
        if cookies == "":
            cookies = this_cookie
        else:
            cookies += "; " + this_cookie
    
    token = fromstring(response.text).forms[0].fields['token']
    global cookie
    cookie = cookies
    payload = {'username': username,'password': password,'remember': '1','submit': 'Login','token': token}
    headers = {"Cookie": cookies}
    l = requests.request("POST", url, headers=headers, data=payload)
    return True

def getdata(m,y):
    url = "https://teslafi.com/exportMonth.php"
    headers = {'Content-Type': 'application/x-www-form-urlencoded','Cookie': cookie}
    response = requests.request("POST", url, headers=headers, data=pl(m,y))
    return response

def detect_delimiter(text):
    """Detects the most likely delimiter in the CSV data"""
    if not text or '\n' not in text:
        return ','
        
    # Sample the first line to detect delimiter
    first_line = text.split('\n', 1)[0]
    delimiters = [(',', first_line.count(',')), 
                 (';', first_line.count(';')), 
                 ('\t', first_line.count('\t'))]
    
    # Sort by frequency, highest first
    delimiters.sort(key=lambda x: x[1], reverse=True)
    
    # Return the most common delimiter, or comma if none found
    return delimiters[0][0] if delimiters[0][1] > 0 else ','

def normalize_field(rows, header, field_name):
    """
    Normalize field values to integers without decimal points:
    - Always convert to integer representation
    - If decimal part < 0.50, round down 
    - If decimal part >= 0.50, round up
    
    Args:
        rows: List of CSV rows (lists)
        header: List of column names
        field_name: Name of the field to normalize
        
    Returns:
        Tuple of (modified_rows, normalization_count)
    """
    # Find the index of the specified field column
    try:
        field_index = header.index(field_name)
    except ValueError:
        # If field column doesn't exist, return original rows
        return rows, 0
    
    normalization_count = 0
    
    # Iterate through all rows
    for i, row in enumerate(rows):
        # Skip if row is too short or field is empty
        if len(row) <= field_index or not row[field_index].strip():
            continue
            
        try:
            # Try to convert the field to a float
            value = float(row[field_index])
            
            # Get the integer value (either rounded up or down based on decimal part)
            if value - int(value) < 0.5:
                new_value = int(value)  # Round down
            else:
                new_value = int(value) + 1  # Round up
                
            # Convert to string representation of integer
            new_value_str = str(new_value)
            
            # Only count as normalization if we actually changed the value
            if row[field_index] != new_value_str:
                row[field_index] = new_value_str
                normalization_count += 1
            
        except (ValueError, TypeError):
            # Skip if conversion fails
            continue
    
    return rows, normalization_count

def normalize_battery_level(rows, header):
    """
    Normalize battery_level values to integers without decimal points.
    This is a wrapper around normalize_field for backward compatibility.
    
    Args:
        rows: List of CSV rows (lists)
        header: List of column names
        
    Returns:
        Tuple of (modified_rows, normalization_count)
    """
    return normalize_field(rows, header, 'battery_level')

def savefile(response, m, y):
    try:
        # Detect what delimiter the API is using
        input_delimiter = detect_delimiter(response.text)
        
        # Read the CSV data with the detected delimiter
        csv_data = StringIO(response.text)
        reader = csv.reader(csv_data, delimiter=input_delimiter)
        rows = list(reader)
        
        # Extract the header and data rows
        if not rows:
            print(f"Skipped creating {fname(m,y)} for year {y} and month number {m} due to lack of data from TeslaFi.")
            return
            
        header = rows[0]
        data_rows = rows[1:]
        
        # Check if there are any data rows
        if not data_rows:
            print(f"Skipped creating {fname(m,y)} for year {y} and month number {m} due to lack of data from TeslaFi.")
            return
        
        # Normalize fields
        fields_to_normalize = ['battery_level', 'charger_actual_current', 'charger_voltage']
        for field in fields_to_normalize:
            data_rows, normalization_count = normalize_field(data_rows, header, field)
            if normalization_count > 0:
                print(f"Detected `{field}` column malformed, {normalization_count} rows of data have been autocorrected")
        
        # Write the standardized CSV with the correct delimiter
        with open(fname(m,y), "w", newline='', encoding='utf-8') as file:
            writer = csv.writer(file, delimiter=CSV_DELIMITER, quoting=csv.QUOTE_MINIMAL)
            writer.writerow(header)
            writer.writerows(data_rows)
        
        print(f"Saved: {fname(m,y)}")
        
    except Exception as e:
        print(f"Error processing CSV: {str(e)}")
    return 

def fname(m,y):
    return("TeslaFi" + str(m) + str(y) + ".csv")

def pl(m,y):
    url = 'https://teslafi.com/export2.php'
    response = requests.request("GET", url, headers={"Cookie": cookie})
    magic = fromstring(response.text).forms[0].fields['__csrf_magic']
    return('__csrf_magic=' + magic + '&Month=' + str(m) + '&Year=' + str(y))

def go():
    login()
    for year in years:
        for month in months:
            print(f"Processing: {month}/{year}")
            d = getdata(month, year)
            savefile(d, month, year)

go()

@JGLord I already deleted my TeslaFi account and cannot test, so you will need to test this version yourself and report back if it works. Don't feel comfortable updating this gist yet until its verified working and I have no way to test.

Try this: https://gist.github.com/TheLinuxGuy/46ff652ba66201da87d268f605e9ad1e

It's been tested and it works very well, and it'll be very easy to adjust for other fields as needed. Thanks you man Le sam. 5 avr. 2025 à 14:29, Giovanni ***@***.***> a écrit :

…

***@***.**** commented on this gist. ------------------------------ @JGLord <https://github.com/JGLord> I already deleted my TeslaFi account and cannot test, so you will need to test this version yourself and report back if it works. Don't feel comfortable updating this gist yet until its verified working and I have no way to test. Try this: https://gist.github.com/TheLinuxGuy/46ff652ba66201da87d268f605e9ad1e — Reply to this email directly, view it on GitHub <https://gist.github.com/TheLinuxGuy/e8c85e59226014087159c5d36c0a1272#gistcomment-5528710> or unsubscribe <https://github.com/notifications/unsubscribe-auth/BQ7MONQ4J7RJFM5L3ZIJADL2YAOIJBFKMF2HI4TJMJ2XIZLTSKBKK5TBNR2WLJDUOJ2WLJDOMFWWLO3UNBZGKYLEL5YGC4TUNFRWS4DBNZ2F6YLDORUXM2LUPGBKK5TBNR2WLJDHNFZXJJDOMFWWLK3UNBZGKYLEL52HS4DFVRZXKYTKMVRXIX3UPFYGLK2HNFZXIQ3PNVWWK3TUUZ2G64DJMNZZDAVEOR4XAZNEM5UXG5FFOZQWY5LFVEYTGNRWGI2DSMJRU52HE2LHM5SXFJTDOJSWC5DF> . You are receiving this email because you were mentioned. Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub> .