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Testing the last update of the Activitymodel #9

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Testing the last update of the Activitymodel #9

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dbe218a
testing and reviwing the last update of the model.
mfbenitezp Apr 18, 2022
7b85864
Update gitignore
mfbenitezp Apr 18, 2022
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2 changes: 2 additions & 0 deletions .gitignore
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Expand Up @@ -13,3 +13,5 @@
02-EnergyModel/*.tar.gz
02-EnergyModel/*.tar
02-EnergyModel/*.Rhistory
*.egg-info
*__pycache__
3 changes: 2 additions & 1 deletion 01-ActivityModel/activity-model/README.md
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Expand Up @@ -29,7 +29,7 @@ machine:

```bash
$ git clone https://github.com/anetobradley/energy_flex.git
$ cd energy_flex/01-ActivityModel/activity-model/
$ cd 01-ActivityModel/activity-model/
```

This package requires a specific
Expand Down Expand Up @@ -59,6 +59,7 @@ $ nano config/user.yaml
# EPC credentials
epc_user: "user@email"
epc_key: "user_key"
# the epc key can be found at the bottom of the https://epc.opendatacommunities.org/ website next to the email you have used to log in.
```

#### Local Authority codes
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2 changes: 1 addition & 1 deletion 01-ActivityModel/activity-model/activity_model/__main__.py
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Expand Up @@ -4,7 +4,7 @@
from enriching_population import EnrichingPopulation

if __name__ == "__main__":
print("hi")
print("Running the Activity model process, this can take a while, depending on how many areas you have added.")
spenser = Spenser()
epc = Epc()
psm = EnrichingPopulation()
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1 change: 1 addition & 0 deletions 01-ActivityModel/activity-model/build/lib/activity_model/__init__.py
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__version__ = '0.1.0'
28 changes: 28 additions & 0 deletions 01-ActivityModel/activity-model/build/lib/activity_model/__main__.py
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import yaml

from data_preparation import Epc, Spenser
from enriching_population import EnrichingPopulation

if __name__ == "__main__":
print("hi")
spenser = Spenser()
epc = Epc()
psm = EnrichingPopulation()

list_df = []
list_df_names = []
lad_codes_yaml = open("config/lad_codes.yaml")
parsed_lad_codes = yaml.load(lad_codes_yaml, Loader=yaml.FullLoader)
lad_codes = parsed_lad_codes.get("lad_codes")

for lad_code in lad_codes:
spenser_df = spenser.step(lad_code)
epc_df = epc.step(lad_code)
rich_df = psm.step(
spenser_df, epc_df, lad_code, psm_fig=True, validation_fig=True
)
list_df_names.append("_".join([lad_code, "hh_msm_epc.csv"]))
list_df.append(rich_df)

psm.save_enriched_pop(list_df_names, list_df)

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