Change SENSOR_DATA to DEVICE_DATA
parent
231a5d4265
commit
2aa44fc504
10
config.yaml
10
config.yaml
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@ -32,7 +32,7 @@ DAY_SEGMENTS: &day_segments
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INCLUDE_PAST_PERIODIC_SEGMENTS: FALSE # Only relevant if TYPE=PERIODIC, see docs
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INCLUDE_PAST_PERIODIC_SEGMENTS: FALSE # Only relevant if TYPE=PERIODIC, see docs
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# See https://www.rapids.science/setup/configuration/#device-data-source-configuration
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# See https://www.rapids.science/setup/configuration/#device-data-source-configuration
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SENSOR_DATA:
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DEVICE_DATA:
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PHONE:
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PHONE:
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SOURCE:
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SOURCE:
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TYPE: DATABASE
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TYPE: DATABASE
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@ -259,7 +259,7 @@ PHONE_CONVERSATION:
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################################################################################
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################################################################################
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FITBIT_HEARTRATE:
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FITBIT_HEARTRATE:
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TABLE_FORMAT: JSON # JSON or CSV. If your JSON or CSV data are files change [SENSOR_DATA][FITBIT][SOURCE][TYPE] to FILES
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TABLE_FORMAT: JSON # JSON or CSV. If your JSON or CSV data are files change [DEVICE_DATA][FITBIT][SOURCE][TYPE] to FILES
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TABLE:
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TABLE:
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JSON: fitbit_heartrate
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JSON: fitbit_heartrate
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CSV:
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CSV:
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@ -275,7 +275,7 @@ FITBIT_HEARTRATE:
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SRC_LANGUAGE: "python"
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SRC_LANGUAGE: "python"
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FITBIT_STEPS:
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FITBIT_STEPS:
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TABLE_FORMAT: JSON # JSON or CSV. If your JSON or CSV data are files change [SENSOR_DATA][FITBIT][SOURCE][TYPE] to FILES
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TABLE_FORMAT: JSON # JSON or CSV. If your JSON or CSV data are files change [DEVICE_DATA][FITBIT][SOURCE][TYPE] to FILES
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TABLE:
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TABLE:
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JSON: fitbit_steps
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JSON: fitbit_steps
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CSV:
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CSV:
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@ -302,7 +302,7 @@ FITBIT_STEPS:
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SRC_LANGUAGE: "python"
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SRC_LANGUAGE: "python"
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FITBIT_SLEEP:
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FITBIT_SLEEP:
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TABLE_FORMAT: JSON # JSON or CSV. If your JSON or CSV data are files change [SENSOR_DATA][FITBIT][SOURCE][TYPE] to FILES
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TABLE_FORMAT: JSON # JSON or CSV. If your JSON or CSV data are files change [DEVICE_DATA][FITBIT][SOURCE][TYPE] to FILES
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TABLE:
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TABLE:
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JSON: fitbit_sleep
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JSON: fitbit_sleep
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CSV:
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CSV:
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@ -315,7 +315,7 @@ FITBIT_SLEEP:
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SUMMARY_FEATURES: ["sumdurationafterwakeup", "sumdurationasleep", "sumdurationawake", "sumdurationtofallasleep", "sumdurationinbed", "avgefficiency", "countepisode"]
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SUMMARY_FEATURES: ["sumdurationafterwakeup", "sumdurationasleep", "sumdurationawake", "sumdurationtofallasleep", "sumdurationinbed", "avgefficiency", "countepisode"]
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FITBIT_CALORIES:
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FITBIT_CALORIES:
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TABLE_FORMAT: JSON # JSON or CSV. If your JSON or CSV data are files change [SENSOR_DATA][FITBIT][SOURCE][TYPE] to FILES
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TABLE_FORMAT: JSON # JSON or CSV. If your JSON or CSV data are files change [DEVICE_DATA][FITBIT][SOURCE][TYPE] to FILES
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TABLE:
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TABLE:
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JSON: fitbit_calories
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JSON: fitbit_calories
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CSV:
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CSV:
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@ -319,12 +319,12 @@ Day segments (or epochs) are the time windows on which you want to extract behav
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You might need to modify the following config keys in your `config.yaml` depending on what devices your participants used and where you are storing your data.
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You might need to modify the following config keys in your `config.yaml` depending on what devices your participants used and where you are storing your data.
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!!! hint
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!!! hint
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You can ignore `[SENSOR_DATA][PHONE]` or `[SENSOR_DATA][FITBIT]` if you are not working with either devices.
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You can ignore `[DEVICE_DATA][PHONE]` or `[DEVICE_DATA][FITBIT]` if you are not working with either devices.
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The relevant `config.yaml` section looks as follows by default:
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The relevant `config.yaml` section looks as follows by default:
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```yaml
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```yaml
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SENSOR_DATA:
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DEVICE_DATA:
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PHONE:
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PHONE:
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SOURCE:
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SOURCE:
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TYPE: DATABASE
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TYPE: DATABASE
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@ -344,7 +344,7 @@ SENSOR_DATA:
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```
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```
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**For `[SENSOR_DATA][PHONE]`**
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**For `[DEVICE_DATA][PHONE]`**
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| Key | Description |
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| Key | Description |
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|---------------------|----------------------------------------------------------------------------------------------------------------------------|
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|---------------------|----------------------------------------------------------------------------------------------------------------------------|
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@ -354,7 +354,7 @@ SENSOR_DATA:
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| `[TIMEZONE] [TYPE]` | Only `SINGLE` is supported |
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| `[TIMEZONE] [TYPE]` | Only `SINGLE` is supported |
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| `[TIMEZONE] [VALUE]` | `*timezone` points to the value defined before in [Timezone of your study](#timezone-of-your-study) |
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| `[TIMEZONE] [VALUE]` | `*timezone` points to the value defined before in [Timezone of your study](#timezone-of-your-study) |
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**For `[SENSOR_DATA][FITBIT]`**
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**For `[DEVICE_DATA][FITBIT]`**
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| Key | Description |
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| Key | Description |
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|------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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|------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|
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@ -20,7 +20,7 @@ This is a quick guide for creating and running a simple pipeline to extract miss
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night,00:00:00,5H 59M 59S,every_day,0
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night,00:00:00,5H 59M 59S,every_day,0
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```
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```
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5\. If you collected data with AWARE you won't need to modify the attributes of `[SENSOR_DATA][PHONE]`
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5\. If you collected data with AWARE you won't need to modify the attributes of `[DEVICE_DATA][PHONE]`
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6\. Set `[PHONE_CALLS][PROVIDERS][RAPIDS][COMPUTE]` to `True`
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6\. Set `[PHONE_CALLS][PROVIDERS][RAPIDS][COMPUTE]` to `True`
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@ -43,7 +43,7 @@ This is a quick guide for creating and running a simple pipeline to extract miss
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INCLUDE_PAST_PERIODIC_SEGMENTS: FALSE
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INCLUDE_PAST_PERIODIC_SEGMENTS: FALSE
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# No need to change this if you collected AWARE data on a database and your credentials are grouped under `MY_GROUP` in `.env`
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# No need to change this if you collected AWARE data on a database and your credentials are grouped under `MY_GROUP` in `.env`
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SENSOR_DATA:
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DEVICE_DATA:
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PHONE:
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PHONE:
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SOURCE:
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SOURCE:
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TYPE: DATABASE
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TYPE: DATABASE
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@ -27,10 +27,10 @@ rule download_phone_data:
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input:
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input:
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"data/external/participant_files/{pid}.yaml"
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"data/external/participant_files/{pid}.yaml"
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params:
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params:
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source = config["SENSOR_DATA"]["PHONE"]["SOURCE"],
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source = config["DEVICE_DATA"]["PHONE"]["SOURCE"],
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sensor = "phone_" + "{sensor}",
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sensor = "phone_" + "{sensor}",
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table = lambda wildcards: config["PHONE_" + str(wildcards.sensor).upper()]["TABLE"],
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table = lambda wildcards: config["PHONE_" + str(wildcards.sensor).upper()]["TABLE"],
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timezone = config["SENSOR_DATA"]["PHONE"]["TIMEZONE"]["VALUE"],
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timezone = config["DEVICE_DATA"]["PHONE"]["TIMEZONE"]["VALUE"],
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aware_multiplatform_tables = config["PHONE_ACTIVITY_RECOGNITION"]["TABLE"]["ANDROID"] + "," + config["PHONE_ACTIVITY_RECOGNITION"]["TABLE"]["IOS"] + "," + config["PHONE_CONVERSATION"]["TABLE"]["ANDROID"] + "," + config["PHONE_CONVERSATION"]["TABLE"]["IOS"],
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aware_multiplatform_tables = config["PHONE_ACTIVITY_RECOGNITION"]["TABLE"]["ANDROID"] + "," + config["PHONE_ACTIVITY_RECOGNITION"]["TABLE"]["IOS"] + "," + config["PHONE_CONVERSATION"]["TABLE"]["ANDROID"] + "," + config["PHONE_CONVERSATION"]["TABLE"]["IOS"],
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output:
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output:
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"data/raw/{pid}/phone_{sensor}_raw.csv"
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"data/raw/{pid}/phone_{sensor}_raw.csv"
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@ -40,9 +40,9 @@ rule download_phone_data:
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rule download_fitbit_data:
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rule download_fitbit_data:
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input:
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input:
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participant_file = "data/external/participant_files/{pid}.yaml",
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participant_file = "data/external/participant_files/{pid}.yaml",
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input_file = [] if config["SENSOR_DATA"]["FITBIT"]["SOURCE"]["TYPE"] == "DATABASE" else lambda wildcards: config["FITBIT_" + str(wildcards.sensor).upper()]["TABLE"]["CSV"][str(wildcards.fitbit_data_type).upper()]
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input_file = [] if config["DEVICE_DATA"]["FITBIT"]["SOURCE"]["TYPE"] == "DATABASE" else lambda wildcards: config["FITBIT_" + str(wildcards.sensor).upper()]["TABLE"]["CSV"][str(wildcards.fitbit_data_type).upper()]
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params:
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params:
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source = config["SENSOR_DATA"]["FITBIT"]["SOURCE"],
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source = config["DEVICE_DATA"]["FITBIT"]["SOURCE"],
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sensor = "fitbit_" + "{sensor}",
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sensor = "fitbit_" + "{sensor}",
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fitbit_data_type = "{fitbit_data_type}",
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fitbit_data_type = "{fitbit_data_type}",
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table = lambda wildcards: config["FITBIT_" + str(wildcards.sensor).upper()]["TABLE"],
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table = lambda wildcards: config["FITBIT_" + str(wildcards.sensor).upper()]["TABLE"],
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@ -69,8 +69,8 @@ rule phone_readable_datetime:
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sensor_input = "data/raw/{pid}/phone_{sensor}_raw.csv",
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sensor_input = "data/raw/{pid}/phone_{sensor}_raw.csv",
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day_segments = "data/interim/day_segments/{pid}_day_segments.csv"
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day_segments = "data/interim/day_segments/{pid}_day_segments.csv"
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params:
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params:
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timezones = config["SENSOR_DATA"]["PHONE"]["TIMEZONE"]["TYPE"],
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timezones = config["DEVICE_DATA"]["PHONE"]["TIMEZONE"]["TYPE"],
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fixed_timezone = config["SENSOR_DATA"]["PHONE"]["TIMEZONE"]["VALUE"],
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fixed_timezone = config["DEVICE_DATA"]["PHONE"]["TIMEZONE"]["VALUE"],
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day_segments_type = config["DAY_SEGMENTS"]["TYPE"],
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day_segments_type = config["DAY_SEGMENTS"]["TYPE"],
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include_past_periodic_segments = config["DAY_SEGMENTS"]["INCLUDE_PAST_PERIODIC_SEGMENTS"]
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include_past_periodic_segments = config["DAY_SEGMENTS"]["INCLUDE_PAST_PERIODIC_SEGMENTS"]
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output:
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output:
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@ -137,8 +137,8 @@ rule phone_locations_processed_with_datetime:
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sensor_input = "data/interim/{pid}/phone_locations_processed.csv",
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sensor_input = "data/interim/{pid}/phone_locations_processed.csv",
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day_segments = "data/interim/day_segments/{pid}_day_segments.csv"
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day_segments = "data/interim/day_segments/{pid}_day_segments.csv"
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params:
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params:
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timezones = config["SENSOR_DATA"]["PHONE"]["TIMEZONE"]["TYPE"],
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timezones = config["DEVICE_DATA"]["PHONE"]["TIMEZONE"]["TYPE"],
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fixed_timezone = config["SENSOR_DATA"]["PHONE"]["TIMEZONE"]["VALUE"],
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fixed_timezone = config["DEVICE_DATA"]["PHONE"]["TIMEZONE"]["VALUE"],
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day_segments_type = config["DAY_SEGMENTS"]["TYPE"],
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day_segments_type = config["DAY_SEGMENTS"]["TYPE"],
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include_past_periodic_segments = config["DAY_SEGMENTS"]["INCLUDE_PAST_PERIODIC_SEGMENTS"]
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include_past_periodic_segments = config["DAY_SEGMENTS"]["INCLUDE_PAST_PERIODIC_SEGMENTS"]
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output:
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output:
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@ -159,8 +159,8 @@ rule resample_episodes_with_datetime:
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sensor_input = "data/interim/{pid}/{sensor}_episodes_resampled.csv",
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sensor_input = "data/interim/{pid}/{sensor}_episodes_resampled.csv",
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day_segments = "data/interim/day_segments/{pid}_day_segments.csv"
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day_segments = "data/interim/day_segments/{pid}_day_segments.csv"
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params:
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params:
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timezones = config["SENSOR_DATA"]["PHONE"]["TIMEZONE"]["TYPE"],
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timezones = config["DEVICE_DATA"]["PHONE"]["TIMEZONE"]["TYPE"],
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fixed_timezone = config["SENSOR_DATA"]["PHONE"]["TIMEZONE"]["VALUE"],
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fixed_timezone = config["DEVICE_DATA"]["PHONE"]["TIMEZONE"]["VALUE"],
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day_segments_type = config["DAY_SEGMENTS"]["TYPE"],
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day_segments_type = config["DAY_SEGMENTS"]["TYPE"],
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include_past_periodic_segments = config["DAY_SEGMENTS"]["INCLUDE_PAST_PERIODIC_SEGMENTS"]
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include_past_periodic_segments = config["DAY_SEGMENTS"]["INCLUDE_PAST_PERIODIC_SEGMENTS"]
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output:
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output:
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@ -185,7 +185,7 @@ rule fitbit_parse_heartrate:
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input:
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input:
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data = expand("data/raw/{{pid}}/fitbit_heartrate_{fitbit_data_type}_raw.csv", fitbit_data_type = (["json"] if config["FITBIT_HEARTRATE"]["TABLE_FORMAT"] == "JSON" else ["summary", "intraday"]))
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data = expand("data/raw/{{pid}}/fitbit_heartrate_{fitbit_data_type}_raw.csv", fitbit_data_type = (["json"] if config["FITBIT_HEARTRATE"]["TABLE_FORMAT"] == "JSON" else ["summary", "intraday"]))
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params:
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params:
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timezone = config["SENSOR_DATA"]["PHONE"]["TIMEZONE"]["VALUE"],
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timezone = config["DEVICE_DATA"]["PHONE"]["TIMEZONE"]["VALUE"],
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table = config["FITBIT_HEARTRATE"]["TABLE"],
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table = config["FITBIT_HEARTRATE"]["TABLE"],
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table_format = config["FITBIT_HEARTRATE"]["TABLE_FORMAT"]
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table_format = config["FITBIT_HEARTRATE"]["TABLE_FORMAT"]
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output:
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output:
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@ -198,7 +198,7 @@ rule fitbit_parse_steps:
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input:
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input:
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data = expand("data/raw/{{pid}}/fitbit_steps_{fitbit_data_type}_raw.csv", fitbit_data_type = (["json"] if config["FITBIT_STEPS"]["TABLE_FORMAT"] == "JSON" else ["summary", "intraday"]))
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data = expand("data/raw/{{pid}}/fitbit_steps_{fitbit_data_type}_raw.csv", fitbit_data_type = (["json"] if config["FITBIT_STEPS"]["TABLE_FORMAT"] == "JSON" else ["summary", "intraday"]))
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params:
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params:
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timezone = config["SENSOR_DATA"]["PHONE"]["TIMEZONE"]["VALUE"],
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timezone = config["DEVICE_DATA"]["PHONE"]["TIMEZONE"]["VALUE"],
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table = config["FITBIT_STEPS"]["TABLE"],
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table = config["FITBIT_STEPS"]["TABLE"],
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table_format = config["FITBIT_STEPS"]["TABLE_FORMAT"]
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table_format = config["FITBIT_STEPS"]["TABLE_FORMAT"]
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output:
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output:
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@ -211,7 +211,7 @@ rule fitbit_parse_calories:
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input:
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input:
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data = expand("data/raw/{{pid}}/fitbit_calories_{fitbit_data_type}_raw.csv", fitbit_data_type = (["json"] if config["FITBIT_CALORIES"]["TABLE_FORMAT"] == "JSON" else ["summary", "intraday"]))
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data = expand("data/raw/{{pid}}/fitbit_calories_{fitbit_data_type}_raw.csv", fitbit_data_type = (["json"] if config["FITBIT_CALORIES"]["TABLE_FORMAT"] == "JSON" else ["summary", "intraday"]))
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params:
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params:
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timezone = config["SENSOR_DATA"]["PHONE"]["TIMEZONE"]["VALUE"],
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timezone = config["DEVICE_DATA"]["PHONE"]["TIMEZONE"]["VALUE"],
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table = config["FITBIT_CALORIES"]["TABLE"],
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table = config["FITBIT_CALORIES"]["TABLE"],
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table_format = config["FITBIT_CALORIES"]["TABLE_FORMAT"]
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table_format = config["FITBIT_CALORIES"]["TABLE_FORMAT"]
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output:
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output:
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@ -224,7 +224,7 @@ rule fitbit_parse_sleep:
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input:
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input:
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data = expand("data/raw/{{pid}}/fitbit_sleep_{fitbit_data_type}_raw.csv", fitbit_data_type = (["json"] if config["FITBIT_SLEEP"]["TABLE_FORMAT"] == "JSON" else ["summary", "intraday"]))
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data = expand("data/raw/{{pid}}/fitbit_sleep_{fitbit_data_type}_raw.csv", fitbit_data_type = (["json"] if config["FITBIT_SLEEP"]["TABLE_FORMAT"] == "JSON" else ["summary", "intraday"]))
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params:
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params:
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timezone = config["SENSOR_DATA"]["PHONE"]["TIMEZONE"]["VALUE"],
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timezone = config["DEVICE_DATA"]["PHONE"]["TIMEZONE"]["VALUE"],
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table = config["FITBIT_SLEEP"]["TABLE"],
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table = config["FITBIT_SLEEP"]["TABLE"],
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table_format = config["FITBIT_SLEEP"]["TABLE_FORMAT"]
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table_format = config["FITBIT_SLEEP"]["TABLE_FORMAT"]
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output:
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output:
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@ -238,7 +238,7 @@ rule fitbit_readable_datetime:
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sensor_input = "data/raw/{pid}/fitbit_{sensor}_{fitbit_data_type}_parsed.csv",
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sensor_input = "data/raw/{pid}/fitbit_{sensor}_{fitbit_data_type}_parsed.csv",
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day_segments = "data/interim/day_segments/{pid}_day_segments.csv"
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day_segments = "data/interim/day_segments/{pid}_day_segments.csv"
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params:
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params:
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fixed_timezone = config["SENSOR_DATA"]["FITBIT"]["TIMEZONE"]["VALUE"],
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fixed_timezone = config["DEVICE_DATA"]["FITBIT"]["TIMEZONE"]["VALUE"],
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day_segments_type = config["DAY_SEGMENTS"]["TYPE"],
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day_segments_type = config["DAY_SEGMENTS"]["TYPE"],
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include_past_periodic_segments = config["DAY_SEGMENTS"]["INCLUDE_PAST_PERIODIC_SEGMENTS"]
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include_past_periodic_segments = config["DAY_SEGMENTS"]["INCLUDE_PAST_PERIODIC_SEGMENTS"]
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output:
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output:
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@ -66,7 +66,7 @@ rule overall_compliance_heatmap:
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pid_files = expand("data/external/{pid}", pid=config["PIDS"])
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pid_files = expand("data/external/{pid}", pid=config["PIDS"])
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params:
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params:
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only_show_valid_days = config["OVERALL_COMPLIANCE_HEATMAP"]["ONLY_SHOW_VALID_DAYS"],
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only_show_valid_days = config["OVERALL_COMPLIANCE_HEATMAP"]["ONLY_SHOW_VALID_DAYS"],
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local_timezone = config["SENSOR_DATA"]["PHONE"]["TIMEZONE"]["VALUE"],
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local_timezone = config["DEVICE_DATA"]["PHONE"]["TIMEZONE"]["VALUE"],
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expected_num_of_days = config["OVERALL_COMPLIANCE_HEATMAP"]["EXPECTED_NUM_OF_DAYS"],
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expected_num_of_days = config["OVERALL_COMPLIANCE_HEATMAP"]["EXPECTED_NUM_OF_DAYS"],
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bin_size = config["OVERALL_COMPLIANCE_HEATMAP"]["BIN_SIZE"],
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bin_size = config["OVERALL_COMPLIANCE_HEATMAP"]["BIN_SIZE"],
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min_bins_per_hour = "{min_valid_bins_per_hour}"
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min_bins_per_hour = "{min_valid_bins_per_hour}"
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@ -28,7 +28,7 @@ PARTICIPANT_FILES: # run snakemake -j1 -R parse_participant_files
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PARSED_FROM: CSV_FILE
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PARSED_FROM: CSV_FILE
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PARSED_SOURCE: "external/my_fitbit_participants.csv" # CSV file should have: device_id, pid (optional), label (optional), start_date (optional), end_date (optional)
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PARSED_SOURCE: "external/my_fitbit_participants.csv" # CSV file should have: device_id, pid (optional), label (optional), start_date (optional), end_date (optional)
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SENSOR_DATA:
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DEVICE_DATA:
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PHONE:
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PHONE:
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SOURCE:
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SOURCE:
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TYPE: DATABASE # Phone only supports DATABASE for now
|
TYPE: DATABASE # Phone only supports DATABASE for now
|
||||||
|
|
|
@ -28,7 +28,7 @@ PARTICIPANT_FILES: # run snakemake -j1 -R parse_participant_files
|
||||||
PARSED_FROM: CSV_FILE
|
PARSED_FROM: CSV_FILE
|
||||||
PARSED_SOURCE: "external/my_fitbit_participants.csv" # CSV file should have: device_id, pid (optional), label (optional), start_date (optional), end_date (optional)
|
PARSED_SOURCE: "external/my_fitbit_participants.csv" # CSV file should have: device_id, pid (optional), label (optional), start_date (optional), end_date (optional)
|
||||||
|
|
||||||
SENSOR_DATA:
|
DEVICE_DATA:
|
||||||
PHONE:
|
PHONE:
|
||||||
SOURCE:
|
SOURCE:
|
||||||
TYPE: DATABASE # Phone only supports DATABASE for now
|
TYPE: DATABASE # Phone only supports DATABASE for now
|
||||||
|
|
Loading…
Reference in New Issue