option #1 seems much simpler I'd likely start with that
re uuid, I usually take the "existing" ids and put them in a dictionary so I
know which ones to skip, absolutely. I don't understand what the "list
comprehension" approach would entail that isn't using a hash lookup of some
kind.
On Sat, Apr 10, 2021, at 5:18 PM, Andrew Martin wrote:
> Hi everyone,
>
> This might be a totally premature optimization, but I want to at least start
> off in the right direction.
>
> I'm pulling messages from a slack channel into an Airflow DAG and writing
> events to a table if certain attributes of the slack message has changed.
> Slack message structures are really variable depending on how a message was
> posted (i.e., you just type something, you share a message from another
> channel, it has a file attachment, or you share it and add a message, etc.
> The dictionary you get is totally different and unreliable.) So I have a
> SlackMessage class that susses all of this out and creates an object with
> standardized attributes that I can rely on. It looks like this:
>
> class SlackMessage:
> def __init__(self, message):
> # print(message + "\n")
> self.reactions = []
> self.ts = ""
> self.uuid = ""
> self.datetime = ""
> self.teams = []
> self.codename = ""
> self.needs_ticket = ""
> self.triage_status = ""
> self.resolution_type = ""
> self.message_type = ""
> self.message_text = ""
> self.file_urls = []
> self.message_url = ""
> self.local_url = ""
> self.jira_title = ""
> self.datetime_resolved = ""
>
> self.parse_message(message)
>
> The init creates the attributes so I don't have to check for them to exist,
> and the parse_message method populates anything that can be at the time.
>
> I'm pushing these objects to a triage_message table in which I want to add
> new records when a message has changed based on the reactions, triage_status,
> ticket_status, or teams values have changed. This is sort of intentionally
> not upsert. I want to preserve event data so that I can do analytics, like
> how long from the time the message was created until it obtained the
> "complete" reaction.
>
> My SQLAlchemy model is different from the slack_message class and has some
> additional fields like a generated bigint ID, a foreign key to my data
> warehouse date dimension, and some automated date fields for creation and
> update time (although in this design, there really shouldn't be an updated
> date.)
>
> The model looks like this:
>
> class TriageMessage(Base):
> __tablename__ = "triage_message"
>
> uuid = Column(Text, nullable=False)
> dim_date_id = Column(
> ForeignKey("dim_date.id", ondelete="CASCADE", onupdate="CASCADE"),
> nullable=False,
> )
> ts = Column(Integer, nullable=False)
> datetime = Column(Date, nullable=False)
> datetime_resolved = Column(Date)
> codename = Column(Text, nullable=False)
> jira_title = Column(Text, nullable=False)
> local_url = Column(Text, nullable=False)
> message_type = Column(Text, nullable=False)
> message_url = Column(Text, nullable=False)
> needs_ticket = Column(Boolean, nullable=False)
> reactions = Column(ARRAY(Text()), nullable=False)
> teams = Column(ARRAY(Text()), nullable=False)
> triage_status = Column(Text, nullable=False)
> file_urls = Column(ARRAY(Text()))
> resolution_type = Column(Text)
>
> I'm trying to figure out what the best way is to decide if a new record
> should be created. These aren't the same class, so it doesn't immediately
> make sense to me to create __eq__ and __ne__ method overrides on these.
>
> There are two different approaches that do seem reasonable to me.
>
> 1. a comparison function
>
> def slack_msg_eq_sqla_msg(slack_msg, sqla_msg):
> <compare the attributes I care about here and return True or False>
>
> 2. convert the slack message object to the sqla object and test for equality.
>
> Does one of these approaches make more sense than the other to the group here?
>
> Also bonus question! If the uuid of the message doesn't exist in the database
> at all, I can skip all of this and just write the new event. If I'm pulling
> 20k messages at a time from the slack channel and postgres, is it worth it to
> create a dict with uuid as the key so that I'm searching a hash table instead
> of doing a list comprehension to gather new items based on the uuid value?
>
>
> --
> SQLAlchemy -
> The Python SQL Toolkit and Object Relational Mapper
>
> http://www.sqlalchemy.org/
>
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