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Feat/add fetch forecasts endpoint (#1823)

* Feat: add endpoint to trigger forecasting job for a sensor

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* chore: update tags for trigger_forecast to sensors

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* style: run pre-commit.

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* chore: remove unused imports

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* Feat: add source parameter to forecaster instantiation in SensorAPI

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* Feat: allow dynamic model selection for forecaster instantiation in SensorAPI if model passed in as field in api call

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* Feat: return bdf from prediction pipeline upon successful completion

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* Feat: return forecasts from run_cycle in TrainPredictPipeline

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* Feat: return forecasts list from run_cycle in TrainPredictPipeline

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* fix: correctly pass as_job param in forecasting parameters

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* Feat: return forecasts in dict forma with data and sensor fields

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* Feat: initialize jobs list before while loop so we can store all jobs created

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* Feat: initialize return_values to store forecasts and jobs in TrainPredictPipeline

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* Feat: append forecasts and sensor data to return_values in run_cycle

Signed-off-by: Mohamed Belhsan Hmida <mohamedbelhsanhmida@gmail.com>

* Feat: remove unuse... (continued)

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