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junos
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junos
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junos
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@ -124,7 +124,7 @@ Execution halted
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|||
This can be amended by setting the environment variable manually before attempting to install `tidyverse`:
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```bash
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TZ='Europe/Ljubljana'
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export TZ='Europe/Ljubljana'
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```
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## Possible runtime issues
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|
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@ -0,0 +1,30 @@
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from collections.abc import Collection
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import pandas as pd
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from config.models import Participant, Timezone
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from setup import db_engine, session
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def get_timezone_data(usernames: Collection) -> pd.DataFrame:
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"""
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Read the data from the proximity sensor table and return it in a dataframe.
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Parameters
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----------
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usernames: Collection
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A list of usernames to put into the WHERE condition.
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Returns
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-------
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df_proximity: pd.DataFrame
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A dataframe of proximity data.
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"""
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query_timezone = (
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session.query(Timezone, Participant.username)
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.filter(Participant.id == Timezone.participant_id)
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.filter(Participant.username.in_(usernames))
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)
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with db_engine.connect() as connection:
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df_timezone = pd.read_sql(query_timezone.statement, connection)
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return df_timezone
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||||
|
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@ -0,0 +1,205 @@
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<text text-anchor="start" x="85" y="-47.8" font-family="sans" font-weight="bold" font-size="14.00">↪ input</text>
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<text text-anchor="start" x="81" y="-28" font-family="monospace" font-size="10.00">data/external/example_participants.csv</text>
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<text text-anchor="start" x="255" y="-157.8" font-family="sans" font-weight="bold" font-size="14.00">output →</text>
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<g id="edge1" class="edge">
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<title>1->0</title>
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<title>2</title>
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<text text-anchor="start" x="325" y="-325.8" font-family="sans" font-weight="bold" font-size="14.00">output →</text>
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<text text-anchor="start" x="395" y="-325.8" font-family="sans" font-size="10.00"> </text>
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<text text-anchor="start" x="7" y="-306" font-family="monospace" font-size="10.00">data/external/example_usernames.csv</text>
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<text text-anchor="start" x="7" y="-288" font-family="monospace" font-size="10.00">data/external/timezone.csv</text>
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<g id="edge2" class="edge">
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<title>2->1</title>
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After Width: | Height: | Size: 4.6 KiB |
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@ -0,0 +1,69 @@
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import datetime
|
||||
import os
|
||||
import sys
|
||||
|
||||
nb_dir = os.path.split(os.getcwd())[0]
|
||||
if nb_dir not in sys.path:
|
||||
sys.path.append(nb_dir)
|
||||
|
||||
import pandas as pd
|
||||
from features.timezone import get_timezone_data
|
||||
from pyprojroot import here
|
||||
|
||||
import participants.query_db
|
||||
|
||||
participants_inactive_usernames = participants.query_db.get_usernames(
|
||||
tester=False, # True participants are wanted.
|
||||
active=False, # They have all finished their participation.
|
||||
collection_start=datetime.date.fromisoformat(
|
||||
"2020-08-01"
|
||||
), # This is the timeframe of the main study.
|
||||
last_upload=datetime.date.fromisoformat("2021-09-01"),
|
||||
)
|
||||
|
||||
participants_overview_si = pd.read_csv(
|
||||
snakemake.params["baseline_folder"] + "Participants_overview_Slovenia.csv", sep=";"
|
||||
)
|
||||
participants_overview_be = pd.read_csv(
|
||||
snakemake.params["baseline_folder"]+ "Participants_overview_Belgium.csv", sep=";"
|
||||
)
|
||||
|
||||
participants_true_si = participants_overview_si[
|
||||
participants_overview_si["Wristband_SerialNo"] != "DECLINED"
|
||||
]
|
||||
participants_true_be = participants_overview_be[
|
||||
participants_overview_be["SmartphoneBrand+Generation"].str.slice(0, 3) != "Not"
|
||||
]
|
||||
|
||||
# Concatenate participants from both countries.
|
||||
participants_usernames_empatica = pd.concat(
|
||||
[participants_true_be, participants_true_si]
|
||||
)
|
||||
# Filter only the participants from the main study (queried from the database).
|
||||
participants_usernames_empatica = participants_usernames_empatica[
|
||||
participants_usernames_empatica["Username"].isin(participants_inactive_usernames)
|
||||
]
|
||||
# Rename and select columns.
|
||||
participants_usernames_empatica = participants_usernames_empatica.rename(
|
||||
columns={"Username": "label", "Wristband_SerialNo": "empatica_id"}
|
||||
)[["label", "empatica_id"]]
|
||||
# Adapt for csv export.
|
||||
participants_usernames_empatica["empatica_id"] = participants_usernames_empatica[
|
||||
"empatica_id"
|
||||
].str.replace(",", ";")
|
||||
|
||||
participants_usernames_empatica.to_csv(
|
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snakemake.output["usernames_file"],
|
||||
header=True,
|
||||
index=False,
|
||||
line_terminator="\n",
|
||||
)
|
||||
|
||||
timezone_df = get_timezone_data(participants_inactive_usernames)
|
||||
|
||||
timezone_df.to_csv(
|
||||
snakemake.output["timezone_file"],
|
||||
header=True,
|
||||
index=False,
|
||||
line_terminator="\n",
|
||||
)
|
||||
2
rapids
2
rapids
|
|
@ -1 +1 @@
|
|||
Subproject commit b99a3c19edfc556765a64da642ce828033dacfcb
|
||||
Subproject commit 4485c4c95e6eddad00fb6b5221d2946930394970
|
||||
Loading…
Reference in New Issue