Getting permission denied error when trying to write to influx

I am very new to influxdb and I am struggling to write sample data to a dev influxdb via python. I have a retention policy set to INF with replication factor 2. My code is written in python and loops through a list of pandas of items that formats each line item as a point to be written to the db using line protocol formatting.

I keep getting the following error when attempting to write to influxdb:

influxdb.exceptions.InfluxDBServerError: {"error":"write failed: mkdir /data/database_name: permission denied"}

Sample code:

df['tag_id1'] = df['tag_id1'].astype("string")
df['tag_id2'] = df['tag_id2'].astype("string")
df['tag_id3'] = df['tag_id3'].astype("string")
df['field_id1'] = df['field_id1'].astype("float")
df['field_id2'] = df['field_id2'].astype("float")

empty_list = []

for idx, row in df.iterrows():
    tag_id1 = df['tag_id1'].astype("string")
    tag_id2 = df['tag_id2'].astype("string")
    tag_id3 = df['tag_id3'].astype("string")
    tag_id3 = tag_id3.replace(" ", "\\ ") -- this handles a space in a datetime object being written as a string; do not want these to be indexed timestamps
    field_id1 = df['field_id1'].astype("float")
    field_id2= df['field_id2'].astype("float")
    measurement = config['DATABASE']['Measurement']
    write_time = dt.utcnow()
    utc_unix_timestamp = calendar.timegm(write_time.utctimetuple())

    empty_list.append(f'{measurement},tag_id1="{tag_id1}",tag_id2="{tag_id2}",tag_id3="{tag_id3}" field_id1={field_id1},field_id2={field_id2} {utc_unix_timestamp}')

  client = InfluxDBClient(host=config['SERVER']['Hostname'], 
                      port=config['SERVER']['Port'], 
                      username=config['LOGIN']['Username1'], 
                      password=config['LOGIN']['Password1'],
                      database=config['DATABASE']['Database'],
                      ssl=True, 
                      verify_ssl=False)

  for x in empty_list: 
      client.write_points(
                      x, 
                      time_precision='n', 
                      database=config['DATABASE']['Database'], 
                      retention_policy=config['DATABASE']['Retention_Policy'], 
                      protocol=u'line', 
                      consistency='all')

I think my spacing is correct for the line protocol formatting. On my end, it looks like the influx client is attempting to read, then write each point, but is getting stuck on something and denying me permission. I have also seen partial write errors and also what looks like my tags being recognized, but not my fields. Not sure where to go look next but I'm struggling to find a solution to get these points written to the influxdb. I'm trying to keep this line protocol format because when using json protocol and writing directly from pandas gives me python deprecation warnings. Thanks for any help.

Start by reviewing the Python client construction and the client.write_points calls in the sample, then compare them with the server error showing that creating /data/database_name is denied. Check the InfluxDB server-side write path and permissions, and use the reported partial-write and tag/field behavior to determine whether the failure is storage access or line-protocol formatting.