Confirm that the Time sequence is accurate using JavaScript Selenium

I am working with a list of time intervals that includes 'a day ago, 10 days ago, 3 months ago, and 6 months ago.' How can I verify that these dates are in ascending order using JavaScript and Selenium?

I am unsure of how to approach this problem as the text format of the time intervals has me feeling confused. I had some ideas for using dd/mm/yyyy or mm/dd/yyyy format, but I'm not sure how to implement them in this case.

Answer №1

Exploring various methods is key, ranging from easy to more complex.

A straightforward approach

One simple variation involves always having three parts in the time string, keeping the format consistent:

"<quantity token> <time span token> ago" 

The concept is quite basic:

  1. Divide the time string into individual components
  2. Transform each component into a meaningful format (a numerical value for the <quantity token> or milliseconds for the <time span token>)
  3. Calculate the total milliseconds by multiplying the values obtained. Repeat for all input time strings to create an array of millisecond values representing time passed
  4. Ensure the millisecond values are sorted in ascending order

Additional tokens have been included to illustrate the extensibility of this method beyond the provided input.

const times = ["a day ago", "10 days ago", "3 months ago", "6 months ago"];
/tests?/.test("a day ago");
const termsOfQuanity = {
  a: 1,
  an: 1,
  one: 1,
  two: 2,
  three: 3,
  four: 4,
  five: 5,
  six: 6,
  seven: 7,
  eight: 8,
  nine: 9,
  ten: 10,
};

const milliSecondsPerTimeSpan = {
  seconds: 1000,
  minutes: 60000,
  hours: 3600000,
  days: 86400000,
  weeks: 604800000,
  months: 2629800000,
  years: 31557600000,
};
const timeSpans = {
...

...

Overall insights on the approach:

  • Steps 3 and 4 are fundamental and prevalent in most solutions to this issue.
  • Steps 1 (considering varying token quantities) and 2 pose more complex challenges, allowing room for intricate coding solutions

Potential enhancements/ alternative methods

  • Based on the number of tokens, specific processing steps can be applied
    • For instance, if only one token is present: check for terms like today, yesterday, etc.
    • With multiple tokens, trial-and-error parsing can determine quantitative or timespan tokens, accommodating potential errors
  • Utilizing advanced RegEx patterns can replace object lookups, offering flexibility for time span token recognition
  • Implementing AI models for millisecond extraction can handle unanticipated time strings, ensuring comprehensive parsing capabilities
  • Combining approaches, beginning with a simple version and transitioning to AI models when necessary, can optimize resource utilization

While natural language processing may not guarantee absolute accuracy, AI technologies can approximate perfection. Typically, a simple solution suffices, assuming machine-generated time strings adhere to predictable patterns. Ongoing monitoring is recommended to identify and adapt to pattern shifts promptly.

The ambiguity in precise solutions

Some unquantified terms like few, a couple in phrases such as a few minutes ago, a couple hours ago introduce a challenge in comparison. Which term holds greater significance - a couple or a few?

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