file name fixes for the new tests (#138)

quartz_solar_forecast/inverters/README.md

@@ -16,17 +16,20 @@ Open-Source-Quartz-Solar-Forecast/
 │   └── inverters/
 ├── tests/
 │   └── data/
-│       └── test_make_pv_data.py
+│   |   └── test_process_pv_data.py
+│   └── inverters/
+│       └── test_process_enphase_data.py
 ```
 
 ## What each Directory holds
 
 1. `example/`
+
    * `inverter_example.py`: Makes input data depending on the inverter type and compares it with the type with no data and runs the ML model along with a comparison plot using `plotly`. This is the file that you need to run in order to run the ML model. An example output with Enphase is demonstrated below:
 
      ![example_enphase_output](https://github.com/aryanbhosale/Open-Source-Quartz-Solar-Forecast/assets/36108149/7127a00e-c081-4f5e-a342-2be2e2efe00c)
-
 2. `quartz_solar_forecast`:
+
    * `data.py`: Contains the `make_pv_data()` function, that conditionally checks the inverter type and constructs and `xarray` dataframe
    * `pydantic_models.py`: Contains the PVSite class
    * `inverters/`:
@@ -35,17 +38,21 @@ Open-Source-Quartz-Solar-Forecast/
      * We need the past 7 days data formatted in intervals of 5 minutes for this model. Given below is an example with Enphase
 
        ![example_enphase_data](https://github.com/aryanbhosale/Open-Source-Quartz-Solar-Forecast/assets/36108149/436c688c-2e59-4047-abfc-754acb629343)
-
      * Once all the processing is done, make sure that your return type is of `pd.DataFrame` that has 2 colums, namely
 
        * `timestamp`: `timestamp=datetime.fromtimestamp(interval_end_time_in_unix_epochs, tz=timezone.utc).strftime('%Y-%m-%d %H:%M:%S')`, and then convert the timestamp column to `pd.to_datetime`
        * `power_kw`: Power in **KiloWatts.** An example is shown below with the formatted `pd.DataFrame`
          ![example_enphase_formatted_dataframe](https://github.com/aryanbhosale/Open-Source-Quartz-Solar-Forecast/assets/36108149/482b2f2a-e3f5-4a1a-97f1-2d322a1444d5)
-
 3. `tests/`
+
    * `data/`
-     * `test_make_pv_data.py`: Mocks the `make_pv_data()` function `data.py` file using various type of inverters and the `None` value too using `pytest`
-       * Run this using `pytest tests/data/test_make_pv_data.py`
+
+     * `test_process_pv_data.py`: Mocks the `process_pv_data()` function in the `data.py` file using various type of inverters and the `None` value too using `pytest`
+       * Run this using `pytest tests/data/test_process_pv_data.py`
+   * `inverters/`
+
+     * `test_process_enphase_data.py`: Mocks the `process_enphase_data()` function in the `/inverters/enphase.py` file using `pytest`
+       * Run this using `pytest tests/inverters/test_process_enphase_data.py`
 
 ## How to Setup